{"has_next":true,"jobs":[{"id":"4ee3ad62-c834-40b6-9d23-94f8f18e413d","company_id":"6195a3ea-00dd-46bf-a128-51a98a52d538","title":"Senior Software Engineer, AI Platform","slug":"senior-software-engineer-ai-platform-cc64dd0b","description":"About Mixpanel \n Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.\n About the Team \n The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. \n We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable.  We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users.\n Some examples of what we are building:\n \n Agent Optimization Framework : A measurement and tuning system for Mixpanel AI that uses evals and metrics from production to optimize for speed, quality, and cost across a wide range of use cases.\n AI Agent Integrations and Accessibility : Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot and a public skills library.\n Automatic Generation of AI Inputs: Infrastructure to provide input to LLMs (e.g. context windows) with relevant customer and behavioral data that elevates agent performance.\n \n Role Overview \n We are looking for an experienced and driven Senior Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development.  You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the company.\n Responsibilities \n \n Platform Architecture: Design and develop the core backend services, APIs, and microservices that enable product teams to easily and securely leverage AI models.\n Agent Orchestration: Build scalable frameworks and tools to support multi-step agent workflows, including task decomposition, tool invocation, and persistent memory.\n Evaluation \u0026 Reliability: Build robust evaluation systems to continuously measure reasoning quality, hallucination rates, and task success.\n Operational Excellence: Architect high-performance serving infrastructure with strict guarantees around latency, throughput, cost-efficiency, and error handling.\n Observability \u0026 MLOps: Ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI models.\n Collaboration: Partner with designers, product managers, and other engineers to build self-serve infrastructure that transforms our AI development cycle.\n Leadership: Advocate for software engineering best practices, conduct thorough design and code reviews, and mentor junior engineers.\n \n We're Looking For Someone Who Has \n \n Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience\n 5+ years of professional software engineering experience\n Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers\n Excellent debugging and technical investigation skills\n Strong technical communication, ideally with experience collaborating in an asynchronous remote environment\n Ability to move fast and iterate in ambiguous environments: you take ownership and focus on delivering value to users\n Hands on experience integrating and orchestrating LLMs and agents\n Experience building AI native systems, including iteratively improving and scaling them in production\n A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.\n \n  \n Compensation \n The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here . Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these rang","salary_min":226000,"salary_max":306000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","mlops","cloud","llm","microservices","platform"],"apply_url":"https://job-boards.greenhouse.io/mixpanel/jobs/7941944","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-23T14:02:17Z","expires_at":"2026-06-29T14:19:19.319071Z","created_at":"2026-05-27T14:20:15.169378Z","updated_at":"2026-05-30T14:19:19.429984Z","company_name":"Mixpanel","company_slug":"mixpanel","company_logo_url":"https://www.google.com/s2/favicons?domain=mixpanel.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4ee3ad62-c834-40b6-9d23-94f8f18e413d"},{"id":"de8c4702-b4e3-447a-84b5-b971e4cc8e4d","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Lead Software Architect","slug":"lead-software-architect-fc53e5cc","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n At Anduril, our Battelspace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. \n  \n ABOUT THE JOB \n We are looking for a Lead Software Architect to join our rapidly growing C2 Systems team in  Broomfield, CO.   In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical C2 software that powers Anduril's air and missile defense and battlespace awareness capabilities. You will lead the design of high-performance systems spanning tactical edge deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the C2 organization . This will require deep expertise in  modern C++ and Rust , experience architecting numerics-heavy real-time systems, fluency with asynchronous/multithreaded programming (e.g., Tokio), and a strong grasp of the complex intersection of software and math — including state estimation, target tracking, optimization, and dynamic programming (MCP / Bellman equations) . If you are someone who thrives on ambitious defense problems, enjoys troubleshooting real-world systems where issues could range from electromagnetics to faulty bit encodings to incorrect math assumptions, and wants to build software that is beyond a proof-of-concept — part of real tactical code deployed to the warfighter — then this role is for you\n WHAT YOU’LL DO\n \n Define and drive the architectural vision for large-scale C2 software systems that ingest, fuse, and act on data from diverse sensors in real time\n Lead the design and implementation of performant, real-time, numerics-heavy algorithms in Rust and/or C++ at production scale\n Partner closely with research scientists to transition advanced algorithms (target tracking, state estimation, sensor-effector pairing, asset scheduling) from prototype into tactical, deployed code\n Make high-leverage architectural trade-offs across performance, modularity, testability, and maintainability for mission-critical, edge-deployed systems\n Mentor and technically lead senior engineers, setting coding standards, review processes, and CI/CD best practices across the team\n Engage directly with customers (DoD agencies, Army, Air Force, MDA, SCO) to ensure successful outcomes for mission-critical needs\n Troubleshoot complex, real-world system issues spanning software, math assumptions, sensor behavior, and networking\n Contribute to all phases of the software development lifecycle including prototyping, modeling \u0026 simulation, field testing, and deployment\n Help shape hiring and technical growth of the broader C2 organization as it hyper scales\n \n REQUIRED QUALIFICATIONS\n \n 10+ years of software engineering experience with a Bachelor's degree (or equivalent) in Computer Science, Applied/Computational Mathematics, Electrical Engineering, Aerospace Engineering, Controls/Dynamical Systems, Statistics, or related field\n Expert-level proficiency in modern C++ and/or Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Deep experience writing performant, real-time software with numerics-heavy algorithms\n Strong foundation in applied mathematics: probability theory, linear algebra, optimization, differential equations (ODEs), and statistics\n Experience with CI/CD, unit testing, git version control, and microservices\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS\n \n M.S. or Ph.D. in a technical field (dual academic background in software + math highly valued)\n Domain expertise in target tracking, state estimation, Kalman filters, sensor fusion, or signal processing \n Prio","salary_min":219000,"salary_max":290000,"location":"Broomfield, CO","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["microservices","gpu","payments","computer-vision","cloud","llm"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5124653007?gh_jid=5124653007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T16:37:55Z","expires_at":"2026-06-29T14:06:43.193134Z","created_at":"2026-05-27T14:07:02.654312Z","updated_at":"2026-05-30T14:06:43.308809Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/de8c4702-b4e3-447a-84b5-b971e4cc8e4d"},{"id":"3261877c-be75-4d43-85d6-3e4911c5fc14","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Senior Software Engineer, ML/AI Platform","slug":"senior-software-engineer-mlai-platform-80ff4bf6","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role We’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Platform  (MLPlatform) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, serve, and deploy ML models with higher velocity and performance, while maintaining reliability. We build and maintain a foundational ML platform that spans the full ML lifecycle for use by ML engineers and data scientists. This is an exciting opportunity to join a rapidly growing ML Platform team at the ground floor, with the ability to drive and influence the architectural roadmap, enabling the entire ML organization at Attentive. This team and role are responsible for building and operating the ML data, tooling, serving, and inference layers of the ML platform. We are excited to bring on more engineers to continue expanding this stack.\n What You’ll Accomplish \n \n Unlock offline \u0026 real-time access to trillions of data points for our ML and Data Science teams.\n Manage, expand, and optimize our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencing.\n Support PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and Ray.\n Partner with other teams and business stakeholders to deliver ML and AI initiatives.\n \n Your Expertise \n \n You have been working in the areas of Data Engineering / MLOps for 5+ years, and have built and matured the pipelines of a PB-scale feature store.\n You have deep Apache Spark, Spark Streaming, and Ray Data experience and built data pipelines for ML use cases using these tools.\n You understand the correlation between data cardinality, query plans, configuration settings, and hardware and the impact of each on data pipeline performance .\n You know/have created infrastructure for Training ML models/fine-tuning LLMs. \n You understand the key differences between online and offline ML inferences and can voice the critical elements to be successful with each to meet business needs.\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.\n Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm.\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright.\n Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $180,000 - $250,000 annually   + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-EZ1   \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly and with purpose\n Be One Unstoppable Team - Rally as each other’s champions\n Champion the Customer - Our success is defined by our customers' success\n Act Like an Owner  - Take responsibility for Attentive’s success\n  \n Learn more about AWAKE , Attentive’s collective of employee resource groups.\n  \n If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches you","salary_min":180000,"salary_max":250000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["api-design","data-pipeline","pytorch","fine-tuning","tensorflow","microservices","llm","mlops"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4252255009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T20:47:29Z","expires_at":"2026-06-29T14:18:28.156485Z","created_at":"2026-05-27T14:19:20.116375Z","updated_at":"2026-05-30T14:18:28.272305Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3261877c-be75-4d43-85d6-3e4911c5fc14"},{"id":"a00332f9-4713-46fa-987e-008c7a77a574","company_id":"4bc4e268-7a05-4a65-a162-1688af546f7e","title":"Principal Engineer, AI Platform","slug":"principal-engineer-ai-platform-4d186ca2","description":"WHAT MAKES US EPIC?\n At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.\n Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.\n \n ONLINE INFRASTRUCTURE\n What We Do \n We enable Epic’s online services teams to build, deploy, and manage services that are used by more than half a billion players around the world. Our mission is to provide world class tools and platforms to improve the experience of our developers and make it easier, faster, and safer to build, operate, and scale their applications. We operate at massive scale as one of the largest cloud computing users in the world.\n What You'll Do \n Epic Games is the creator of Fortnite, Unreal Engine, and the Epic Games Store — a company that has shaped the way billions of people play, create, and connect. We build the foundational technology that powers some of the largest interactive experiences on the planet, and we give those tools to creators and developers around the world through open ecosystems.\n Behind the products is an engineering organization that operates at rare scale: real-time infrastructure for hundreds of millions of players, a game engine used across film, architecture, and automotive industries, and a platform ecosystem that lets indie developers ship games to every major device on Earth.\n Our AI Platform team is building the next layer of that infrastructure — an enterprise-grade stack of agentic AI systems that automates engineering workflows, accelerates developer productivity, and enables new kinds of collaboration across Epic's teams. We're not a research group and we're not deploying off-the-shelf tools. We're architecting and building production systems from the ground up, across six interconnected platforms:\n \n AI Agent Orchestration — multi-tenant platform for team AI agents that live and collaborate in Slack channels, Source Control, etc.\n EMA (Epic Managed Agents) — compute and workspace infrastructure for headless agent harness runs at scale\n AI MCP Gateway — MCP OAuth gateway, plugin runtime, and governance layer for AI tool orchestration\n Non Human Identity Management — agent identity, credential vault, and authorization for non-human workloads\n Centralized AI Knowledge Base — org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization\n Roost — cryptographically signed software distribution and the Claude Code plugin marketplace\n \n This is foundational work that will define how AI is used inside Epic for the next decade. The scale is real, the problems are hard, and the team is small enough that every engineer makes a decisive architectural impact.\n As a Principal Engineer on the AI Platform team, you'll own the technical direction of our agent infrastructure stack end to end. You'll set the architecture across the six platforms above, drive alignment between them, and personally solve the hardest distributed systems and security problems that emerge as the stack scales. You'll work across teams to ensure agent identity, tool governance, memory, and execution infrastructure are coherent, secure, and operable — and you'll mentor the engineers who build alongside you. This isn't a coordinator role. You'll write production code, design protocols, make the calls that determine how agents authenticate and what they're allowed to do, and be accountable for the reliability of systems that are actively used by Epic's engineering organization.\n In this role, you will \n \n Platform Architecture \u0026 Technical Leadership:\n \n Own the end-to-end technical architecture across Epic's AI Infrastructure Platforms — ensuring each platform is coherent with the others and that the integration seams are well-defined\n Drive architectural decisions for agent identity and workload authorization (SPIFFE/SPIRE, OIDC, token exchange, policy planes), translating security requirements into implementable designs\n Establish the patterns for how AI agents authenticate, receive credentials, execute tools, and are audited — and hold the bar for correctness across the stack\n Lead design reviews for new capabilities, evaluate build vs. buy decisions, and surface technical risk before it becomes production risk\n \n Distributed Systems \u0026 Infrastructure:\n \n Design and implement the Cluster API and provider abstractions for EMA — the layer that orchestrators depend on to launch, drive, and recover headless agent runs across Kubernetes, EC2, and other compute backends\n Evolve Epic's AI MCP Gateway plugin runtime (WASM, gRPC sidecar, subprocess multiplexer) and its gateway security posture as external tool surface are","salary_min":223199,"salary_max":327358,"location":"BLANK,BLANK,Multiple Locations","workplace":"onsite","job_type":"full-time","experience_level":"principal","tags":["api-design","security","llm","distributed-systems","embeddings","agents","microservices","platform"],"apply_url":"https://epicgames.com/careers/jobs/5996487004?gh_jid=5996487004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-19T14:21:35Z","expires_at":"2026-06-29T14:16:52.476987Z","created_at":"2026-05-27T14:17:40.950867Z","updated_at":"2026-05-30T14:16:52.589257Z","company_name":"Epic Games","company_slug":"epic-games","company_logo_url":"https://www.google.com/s2/favicons?domain=epicgames.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a00332f9-4713-46fa-987e-008c7a77a574"},{"id":"b7f37f3e-ec37-45ee-9b2d-722d57ed59e5","company_id":"099a8aa7-a1bc-4a90-aa8d-f59f677b925a","title":"Software Engineer III, Data Platform","slug":"software-engineer-iii-data-platform-5e66f233","description":"Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.\n About The Role \n Join the team building the data backbone for fleet-scale humanoid robotics. As a Software Engineer III on our Data Platform team, you will implement and scale the infrastructure required to ingest, process, and synchronize massive datasets from our robots. You will focus on the technical challenges of handling multimodal log data —ensuring that high-frequency sensor data, video feeds, and telemetry are perfectly aligned for playback and ML training. \n Key Responsibilities \n \n Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software \n Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot \"black box\" reconstruction/playback. \n Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments. \n Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings. \n Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. \n Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics. \n Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models. \n Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. \n \n Required Qualifications \n \n 3-5 years of experience building and scaling cloud-based data platforms(AWS, GCP, or Azure). \n Big Data Tech : Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc \n Data Formats : Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. \n Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems \n Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices. \n Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry \n \n Bonus Qualifications \n \n Robotics/AV Background : Experience with robot-specific data formats (MCAP, ROS bags) and visualization tools like Foxglove or RVIZ. \n Sensor Fusion : Understanding of time-sync challenges in multimodal data (e.g., PTP/NTP synchronization across sensors). \n Infrastructure : Experience with Kubernetes and containerized deployment patterns. \n Systems Programming : Familiarity with C++ or Rust for high-performance data handling at the edge. \n IoT Knowledge : Experience with edge computing, Greengrass, or managing data from embedded devices. \n \n  \n This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.\n The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. \n Anticipated Salary Range\n $144,000 — $224,000 USD \n In addition to base pay, our competitive total rewards package consists of the following for full-time employees: \n \n 401(k) Plan:   Includes a 6% company match.\n Equity:   Company stock options.\n Insurance Coverage:   100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.\n Benefit Start Date:   Eligible for benefits on your first day of employment.\n Well-Being Support:   Employee Assistance Program (EAP).\n Time Off: \n \n Exempt Employees:   Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.\n Non-Exempt Employees:   10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.\n \n On-Site Perks:   Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.\n Parental Leave:   Generous paid parental leave programs.\n Work Environment:   A culture that ","salary_min":144000,"salary_max":224000,"location":"Pittsburgh, PA","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["cloud","data-pipeline","robotics","microservices"],"apply_url":"https://www.agilityrobotics.com/about/job-post?gh_jid=5988723004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T17:49:25Z","expires_at":"2026-06-29T14:12:07.137924Z","created_at":"2026-05-27T14:12:37.449936Z","updated_at":"2026-05-30T14:12:07.254616Z","company_name":"Agility Robotics","company_slug":"agility-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=agilityrobotics.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b7f37f3e-ec37-45ee-9b2d-722d57ed59e5"},{"id":"8225e4ff-3f6e-49b4-b89a-cd2fea6d68c4","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Application Security Engineer","slug":"application-security-engineer-62d364f6","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n  \n About the Role: \n Glean is looking for an experienced Application Security Engineer with a primary focus on ensuring that our entire technology stack is free of software vulnerabilities (CVEs). This role is responsible for securing our base OS images, ensuring all open-source software (OSS) dependencies are scanned and patched, and integrating cutting-edge security tools into our CI/CD pipeline. The ideal candidate will drive the adoption of solutions like Google’s Assured Open Source Software (OSS) and explore alternative approaches to enhance software security. This role will lead the vulnerability management charter at Glean, identifying, evaluating, and implementing new security technologies and processes to proactively protect our infrastructure. \n You will: \n \n Own and lead the vulnerability management lifecycle, ensuring our entire tech stack is free from known CVEs. \n Implement and manage secure base OS images, ensuring all underlying systems remain hardened against security threats. \n Continuously scan, monitor, and patch OSS dependencies to mitigate supply chain risks and enforce best practices for dependency management. \n Research and evaluate trusted open-source security solutions like Google’s Assured Open Source Software and recommend their adoption where applicable. \n Work closely with engineering teams to integrate state-of-the-art SAST, DAST, and dependency scanning tools into the CI/CD pipeline to detect and remediate vulnerabilities early. \n Define and maintain best practices for secure coding to ensure all code developed by Glean engineers is free from vulnerabilities. \n Develop automated security validation tests to enforce vulnerability-free deployments across the stack. \n Lead the adoption and, if necessary, develop custom security solutions to manage and mitigate security risks at scale. \n Provide security guidance, training, and mentorship to engineering teams to foster a security-first culture at Glean. \n \n About you: \n \n BA/BS in Computer Science, Cybersecurity, or a related field (or equivalent industry experience). \n 5+ years of experience in application security and vulnerability management. \n Deep understanding of software security vulnerabilities, including CVEs, OWASP Top 10, and supply chain risks. \n Experience with SAST, DAST, dependency scanning, and vulnerability management tools (e.g., Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, OWASP ZAP). \n Strong familiarity with package managers (npm, pip, Maven, Go modules) and securing open-source dependencies. \n Coding experience in languages such as Go, Python, Java, or C++ to develop security test cases and tooling. \n Hands-on experience with cloud-native security best practices across AWS, GCP, or Azure. \n Knowledge of container security, Kubernetes security, and securing microservices architectures. \n Ability to lead cross-function","salary_min":153000,"salary_max":238000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["agents","security","microservices","llm","cloud"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4694831005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T23:03:45Z","expires_at":"2026-06-29T14:03:12.045036Z","created_at":"2026-05-14T14:03:48.826496Z","updated_at":"2026-05-30T14:03:12.164276Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8225e4ff-3f6e-49b4-b89a-cd2fea6d68c4"},{"id":"a9111236-fbda-4441-bf24-4637736aca19","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Staff Software Engineer, Machine Learning ","slug":"staff-software-engineer-machine-learning-32926214","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role \n Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.\n You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.\n What You’ll Accomplish \n \n You have a proven track record of building systems that maintain a high bar of quality\n You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques\n You are a collaborator, technical leader, and a great communicator\n You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes\n You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup\n 10+ years experience is ideal\n \n Your Expertise \n \n You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions\n Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools\n You have proficiency or experience with Python\n You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams\n You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research\n You have led cross-functional machine learning projects across teams\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS\n Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright\n Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $320,000 - $360,000 annually   + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-EF1 \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly and with purpose\n Be One Unstoppable Team - Rally as each other’s champions\n Champion the Customer - Our success is defined by our customers' success\n Act Like an Owner  - Take responsibility for Attentive’s success\n  \n Learn more about AWAKE , Attentive’s collective of employee resource groups.\n  \n If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.\n  \n At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide eq","salary_min":320000,"salary_max":360000,"location":"United States","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["api-design","pytorch","tensorflow","microservices","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4244729009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T15:46:41Z","expires_at":"2026-06-29T14:18:28.482547Z","created_at":"2026-05-14T14:19:30.509909Z","updated_at":"2026-05-30T14:18:28.593409Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a9111236-fbda-4441-bf24-4637736aca19"},{"id":"2ab7506f-1e6e-485e-9be5-109a4a7f4775","company_id":"aa372131-86ce-432a-af45-e2b42a79ba29","title":"Software Engineer - Back End","slug":"software-engineer-back-end-048f4140","description":"ABOUT DISTYL AI\n\nDistyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.\n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nAs a Software Engineer Back End you will help design, build, and optimize Distillery—our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.\n\n\n\nYour role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Build \u0026 Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.\n\n - Develop Cloud-Native Microservices \u0026 Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.\n\n - Optimize System Performance \u0026 Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.\n\n - Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.\n\n\n\n\nWHO YOU ARE\n\n - We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)\n\n - Proficiency in Backend \u0026 Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems\n\n - Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code\n\n - Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows\n\n - Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus\n\n - Travel: Ability to travel 10-20%\n\n\n\n\nWHAT WE OFFER\n\n - The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package\n\n - 100% covered medical, dental, and vision for employees and dependents\n\n - 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)\n\n - Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems\n\n - Ownership of high‑impact projects across top enterprises\n\n - A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence\n\nDistyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.\n\n\n\nWe’re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we’ve completed our review, regardless of the decision.\n\n\n\n#LI-Hybrid\n\n\n\nWe believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.","salary_min":150000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","microservices","healthcare","cloud"],"apply_url":"https://jobs.ashbyhq.com/distyl/a906a364-236d-4c41-a844-dced0c394936/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-29T20:41:26.659Z","expires_at":"2026-06-29T14:17:45.887329Z","created_at":"2026-04-17T02:26:27.564076Z","updated_at":"2026-05-30T14:17:46.007097Z","company_name":"Distyl AI","company_slug":"distyl-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=distyl.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2ab7506f-1e6e-485e-9be5-109a4a7f4775"},{"id":"7804a141-c880-473d-a6ba-5be26adc33b4","company_id":"ff51c80a-dce9-4cb4-b2e6-9c060d25ef55","title":"Software Engineer - Axion Data Engine and ML Ops","slug":"software-engineer-axion-data-engine-and-ml-ops-5638aff7","description":"About Applied Intuition\n Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .\n We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. \n Meet our software engineers!\n Meet some of our software engineers who are shaping the future of autonomy and delivering world-class solutions helping customers shorten time to market. Hear about what brought them to Applied Intuition, what’s kept them interested, and their advice to potential candidates.\n  \n \n \n About the role\n The Axion Data team is building the data engine to train perception models. We build the means to run models at the edge such as Automatic Target Recognition (ATR) models, then backhaul data to our cloud pipeline that ingests and manages this data to enable the continual improvement of these models.\n As an engineer experienced in MLOps, you will be responsible for both our edge application which runs perception stacks and our cloud data engine which ingests video data to run the next iteration of the model before we deploy it back down to the edge. This includes optimizing our ability to run these models on both the edge and the cloud, building MLOps tooling to gain insight and visibility into the pipeline for our stakeholders.\n At Applied Intuition, you will:\n \n Construct optimized data pipelines to run ML models\n Evolve our data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles\n Integrate foundation models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery\n Leverage software-in-the-loop and hardware-in-the-loop testing\n Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience\n \n We're looking for someone who has:\n \n 5+ years of relevant work experience\n Familiarity with modern ML infrastructure, data-centric AI approaches and running large-scale jobs on GPUs\n Created or worked on microservices and/or databases for data-oriented software\n A hunger to learn and grow into a position of ownership and impact on a new product team\n U.S. citizenship (legally required) and eligibility to obtain a security clearance\n \n Nice to have:\n \n Full-stack experience React, TypeScript Python, Golang or similar \n Experience with Docker, Kubernetes, Opensearch and Postgres\n Direct experience with foundation models, including LLMs and VLMs, for data automation tasks\n Background in autonomous driving or robotics perception\n Experience with active learning, auto-labeling, or human-in-the-loop ML systems\n \n Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials \u0026 certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.\n Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $ 125,000 - $222,000 USD annually.\n Don’t meet every single requirement? If you’re excited abou","salary_min":125000,"salary_max":222000,"location":"Sunnyvale, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["mlops","llm","autonomous-vehicles","data-pipeline","generative-ai","microservices","cloud","search"],"apply_url":"https://boards.greenhouse.io/appliedintuition/jobs/4689696005?gh_jid=4689696005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-28T15:55:48Z","expires_at":"2026-06-29T14:03:39.667818Z","created_at":"2026-04-30T05:48:03.854846Z","updated_at":"2026-05-30T14:03:39.783516Z","company_name":"Applied Intuition","company_slug":"applied-intuition","company_logo_url":"https://www.google.com/s2/favicons?domain=appliedintuition.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7804a141-c880-473d-a6ba-5be26adc33b4"},{"id":"360d8d3b-46d5-483e-bc21-74c97f30ee04","company_id":"19a78c6a-11dc-4d21-8273-0d2d2bad39b1","title":"Staff Software Engineer","slug":"staff-software-engineer-toast-iq-086e038c","description":"Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a fullstack Staff Software Engineer to join the Toast IQ team to transform how Toast helps its customers run their restaurants.\n Toast IQ has landed with our users with much excitement and an appetite for us to deliver more capabilities across the entire Toast ecosystem.  We believe that if we do our job right, restaurants using Toast IQ will spend less hours on operations, make better margins, generate more revenue, and have a better guest and employee experience, compared to other restaurants outside and within the Toast ecosystem.\n This role includes responsibility for the experience delivered to our end users, the services backing that experience, and the integrations to other Toast products.\n A day in the life (Responsibilities) \n \n Join a collaborative team of Design, Product, QA, and other engineering members in developing robust and scalable full-stack software applications.\n Lead complex projects that improve functionality and reliability for our customers\n Provide design feedback and participate in code reviews to ensure implementation meet requirements\n Drive architectural discussions and influence the technical roadmap\n Advocate for best coding practices to raise the bar for you, your team, and the company\n Mentor and provide technical guidance to other team members\n Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.\n \n What you'll need to thrive (Requirements) \n \n 8+ years of full-stack experience in Java, Kotlin, or other object-oriented languages, and modern web frameworks such as React.\n Proficient with modern web standards and technologies (e.g. REST, GraphQL)\n Proficient with non-relational data stores (e.g. DynamoDB)\n Experience with applied machine learning or large language models. \n Experience with distributed systems, enterprise messaging systems, and/or microservices\n Experience delivering high-quality, reliable services to production\n Excellent cross-team communication skills on complex technical topics\n Passionate about technology and learning new things\n \n AI at Toast \n At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.\n Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at  https://careers.toasttab.com/toast-benefits .\n This role is for a current vacancy.\n #LI-REMOTE\n The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. \n Pay Range \n $175,000 — $220,000 CAD \n How Toast Uses AI in its Hiring Process \n Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring \n Diversity, Equity, and Inclusion is Baked into our Recipe for Success \n At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.\n We Thrive Together \n We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast . \n Apply today! \n Toast is committed to creating an accessible and inclusive hiring process. As p","salary_min":175000,"salary_max":220000,"location":"Remote (Canada)","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","llm","api-design","microservices"],"apply_url":"https://careers.toasttab.com/jobs?gh_jid=7818293","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-28T14:46:17Z","expires_at":"2026-06-29T14:09:31.81444Z","created_at":"2026-04-30T05:52:24.714481Z","updated_at":"2026-05-30T14:09:31.930288Z","company_name":"Toast","company_slug":"toast","company_logo_url":"https://www.google.com/s2/favicons?domain=pos.toasttab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/360d8d3b-46d5-483e-bc21-74c97f30ee04"},{"id":"bb805123-5ad4-49d8-93d7-493a44999186","company_id":"fb64b18b-041a-43de-886d-f506d1ab94a4","title":"Senior Backend Software Engineer, ObservoAI","slug":"senior-backend-software-engineer-observoai-822f7f6b","description":"Our Purpose \n At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.\n About Us \n SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.\n Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.\n What Are We Looking For? \n We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.\n As a Senior Software Engineer, you will be tasked with leading the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. You will drive technical excellence and lead complex engineering initiatives at scale for the Observo.ai team, our cutting-edge AI-driven data pipeline optimization platform.\n What Will You Do? \n Primary responsibilities include:\n \n Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces).\n Drive the development and optimization of ML-driven data routing and transformation engines to reduce customer data volumes by 80%+ while architecting real-time analytics systems using advanced machine learning and LLMs.\n Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog) while establishing robust monitoring, alerting, and observability solutions.\n Lead cross-functional technical initiatives and decision-making forums, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions and company-wide standards.\n Provide technical leadership and mentorship to senior and junior engineers, driving system performance and reliability optimization while establishing engineering best practices and culture.\n \n What Skills and Knowledge Will You Bring? \n Ideal candidates will have:\n \n 5+ years of software engineering experience focused on distributed systems, data engineering, or ML infrastructure with expert-level proficiency in Go, Rust, or Java.\n Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and a proven track record leading and scaling data pipelines using Kafka, Spark, or Flink.\n Deep expertise in database technologies (SQL and NoSQL) and advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production ML systems.\n Expert knowledge of observability tools and standards, including Prometheus, Grafana, ELK stack, OpenTelemetry, and Parquet, alongside extensive experience with Infrastructure as Code (Terraform).\n Strong leadership and technical communication skills, with a track record of mentoring engineers, planning technical strategy, and driving decisions across multiple teams and stakeholders.\n \n Why SentinelOne?\n AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.\n We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:\n Equity \u0026 Rewards \n \n Restricted Stock Units (RSUs)\n Employee Stock Purchase Plan (ESPP)\n \n Time Off \u0026 Wellbeing \n \n Flexible time off\n Paid company holidays and paid sick time\n Gender-neutral parental leave\n Grandparent leave\n \n Insurance \u0026 Financial Security \n \n Medical, dental, and vision coverage\n 401(","salary_min":132000,"salary_max":182000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["pytorch","microservices","data-pipeline","llm","tensorflow","distributed-systems","security","mlops"],"apply_url":"https://www.sentinelone.com/jobs/7704693003?gh_jid=7704693003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-21T14:04:56Z","expires_at":"2026-06-29T14:18:35.828194Z","created_at":"2026-04-22T15:59:31.54462Z","updated_at":"2026-05-30T14:18:35.94713Z","company_name":"SentinelOne","company_slug":"sentinelone","company_logo_url":"https://www.google.com/s2/favicons?domain=sentinelone.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/bb805123-5ad4-49d8-93d7-493a44999186"},{"id":"69f60a71-8f85-44f1-adef-20dbff058d04","company_id":"9d355471-83aa-4d50-9478-2ac3cc40e215","title":"Senior Forward Deployed Software Engineer","slug":"senior-forward-deployed-software-engineer-3dbc114f","description":"About us\n PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.\n We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace \u0026 Defense, Materials, Energy, Semiconductors, and Automotive.\n Note:  We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.\n The Role \n Your role, first and foremost, is to help our customers solve their most important problems. As a Senior Forward Deployed Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.\n  \n As a member of the delivery team, you’ll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We’re looking for someone who can grasp advanced engineering concepts across multiple industries, fundamentally understand the problems that engineers face, and build tools to solve these problems. You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter , where you'll collaborate closely with customers to build solutions on-site.\n  \n Who We're Looking For \n  \n Technical ability: We work across a wide range of engineering disciplines, all of which are high complexity. Someone with a track record of solving hard problems is a must, a background in Mechanical Engineering or similar is a plus. This role deals with breadth across the full stack, having a solid foundation in software engineering, API design, and deploying applications to production is desired.\n  \n Proactivity \u0026 high ownership: You’ll be responsible for driving impact for our customers, whatever that might look like. We're looking for someone who is a go-getter and is naturally inclined to find problems and solve them end-to-end. You own the responsibility to get things done and will pick up the skills and experience needed to solve novel problems quickly.\n  \n Solution-focussed: We build tools that customers need, not just the ones they want. So you must be someone who is customer-obsessed and can work  alongside  our customers to understand their problems and build applications that change the way they do engineering.\n  \n What a day might look like \n Collaborate with cross-functional teams:  Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front-end engineers to shape the UX in line with customer needs.\n  \n E2E application design:  Work with customers to shape tools that are impactful for their teams. Construct low-lift prototypes of your ideas and ship them directly to the customer. Rapidly iterate on this experience through constant user feedback.\n  \n Backend development:  Build and maintain RESTful APIs (FastAPI) and microservices in Python to serve Large Physics Models to the end users. Working with other software engineers in our platform team, deploy these applications to the cloud so they become key tools in our customer’s day-to-day workflow. We use a mixture of Helm, Kubernetes, Terraform, and AWS/Azure for provisioning and running our infrastructure.\n  \n PhysicsX development:  Distill down complex solutions built across multiple use cases into fundamental components. Pitch and execute the development of features on top of our core platform offering. Drive the direction of PhysicsX to be better positioned to solve ever harder problems with our customers.\n What we offer \n Build what actually matters \n Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.\n Learn alongside exceptional people \n Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.\n Influence over hierarchy \n We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the st","salary_min":150000,"salary_max":250000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["healthcare","api-design","microservices","cloud"],"apply_url":"https://job-boards.eu.greenhouse.io/physicsx/jobs/4839390101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-21T13:21:25Z","expires_at":"2026-06-29T14:14:37.794238Z","created_at":"2026-04-22T15:53:20.714138Z","updated_at":"2026-05-30T14:14:37.906599Z","company_name":"PhysicsX","company_slug":"physicsx","company_logo_url":"https://www.google.com/s2/favicons?domain=physicsx.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/69f60a71-8f85-44f1-adef-20dbff058d04"},{"id":"b438b6e9-7dbe-41d1-bd2a-29de69853cb3","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Sr. Staff Machine Learning Engineer - Data Lake, Anomaly Detection","slug":"sr-staff-machine-learning-engineer-data-lake-anomaly-detection-91988b89","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n Role \n We are looking for a Sr. Staff Software Engineer to join our Zscaler Digital Experience (Core Intelligence and Data) team. This is a hybrid role based in San Jose, CA 3 days a week, reporting to the Sr. Manager, Software Engineering. You will join the team responsible for building the world’s largest cloud security platform, helping us enhance services and increase our global footprint. You will play a pivotal role in enabling organizations worldwide to harness speed and agility through a cloud-first strategy, leveraging our multitenant architecture that serves over 15 million users.\n What you’ll do (Role Expectations) \n \n Own agentic trouble shooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products\n Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization\n Work with the world class cloud platform and data lakes for feature exploration and generation\n Handle volume data with the real time pipeline for data processing and aggregation\n Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.\n You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.\n You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.\n You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.\n You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.\n \n What We’re Looking for (Minimum Qualifications) \n \n BS in Computer Science with 8+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems\n Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking\n Hand-on experience with AI modeling, including feature generation, prompt engineering, evaluations and productionization\n Experience in the full lifecycle of ML models, including building, deployment, monitoring, and optimization\n Expertise in designing and operating distributed microservices using tools like Kubernetes and Docker, and writing production-grade code in Python, Go, or Java\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Experience fine-tuning and deploying proprietary SLMs/LLMs at scale, with a focus on optimizing latency, cost, safety, and evaluations\n Experience delivering produc","salary_min":154000,"salary_max":220000,"location":"San Jose, CA","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["llm","generative-ai","fine-tuning","distributed-systems","data-pipeline","microservices","agents","security"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5114450007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-20T18:49:23Z","expires_at":"2026-06-29T14:09:19.389117Z","created_at":"2026-04-30T05:52:17.536381Z","updated_at":"2026-05-30T14:09:19.503024Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b438b6e9-7dbe-41d1-bd2a-29de69853cb3"},{"id":"be757b63-385f-4fc1-baf1-ca0851843c45","company_id":"75f38274-c5f0-417d-92f4-bd42624e749e","title":"Application Engineer","slug":"application-engineer-90125b67","description":"Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. \n Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. \n Role\n As a Robotics Application Engineer specializing in Intelligent Manufacturing Automation, you will closely collaborate with our automation group and industry partners to advance manufacturing automation by extending our capabilities and solutions. Your daily responsibilities will include integrating and developing robotics solutions, including processes, software features and integrating state-of-the-art AI for manufacturing automation. You will be working with the team leading the deployment of impactful robotic systems in production.\n How your work moves the mission forward\n \n Contribute to the technical development and integration of advanced robotic automation solutions for manufacturing automation, utilizing the Intrinsic platform, ROS and state-of-the-art AI capabilities.\n Collaborate closely with our research and industry partners to successfully integrate AI and automation capabilities into factory settings.\n Document designs, processes, and results, communicating effectively with internal technical teams and our partners.\n \n Skills you will need to be successful\n \n Bachelor’s degree or equivalent practical background in Robotics Engineering, Software Engineering, or a related technical field.\n Foundational understanding of industrial robotics, motion control, and machine vision, with a strong desire to learn and contribute to their application in manufacturing environments.\n Programming proficiency with C++ and/or Python.\n Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners during deployment and support.\n \n Skills that will differentiate your candidacy\n \n Foundational understanding of AI concepts for perception, robotics and automation, with a strong desire to learn and contribute to their application in manufacturing environments.\n Experience with ROS 2 and its major frameworks.\n Experience with technologies such as Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems.\n In addition to the salary range below, this full-time position is eligible for bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process. \n Salary Range\n $132,000 — $187,000 USD \n At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.\n If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.","salary_min":132000,"salary_max":187000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["robotics","microservices","cloud","api-design"],"apply_url":"https://boards.greenhouse.io/intrinsicrobotics/jobs/5973136004?gh_jid=5973136004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-17T18:39:56Z","expires_at":"2026-06-29T14:07:05.729235Z","created_at":"2026-04-17T19:35:23.552681Z","updated_at":"2026-05-30T14:07:05.855858Z","company_name":"Intrinsic","company_slug":"intrinsic","company_logo_url":"https://www.google.com/s2/favicons?domain=intrinsic.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/be757b63-385f-4fc1-baf1-ca0851843c45"},{"id":"46019328-dce2-4894-89ae-7d548f84d7e4","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Senior Software Engineer, Payment Integrity","slug":"senior-software-engineer-payment-integrity-c746d3ff","description":"Opportunity Overview: \n This is a great opportunity for an experienced full-stack developer to join a healthcare analytics company driving meaningful impact by reducing the cost of care. You’ll partner closely with engineering, operations, and data science to build intelligent, scalable solutions that solve real business problems.\n We’re looking for someone curious, detail-oriented, and willing to think outside the box in a fast-paced environment. This role offers strong growth potential and the opportunity to help transform payment services at Cohere Health, where we’re committed to developing and investing in our talent.\n What you’ll do: \n \n Design and build high quality software applications which help clinicians to deliver the right care at the right place and right time.\n Develop maintainable, efficient code in languages like NodeJS in the native cloud environment.\n Conduct unit, integration, and system testing to identify bugs and ensure the delivery of the high-quality, secure code.\n Collaborate with cross-functional teams to ensure the feature functionality aligns with business and client requirements.\n \n What you’ll need: \n \n 6+ years of software development experience, including 2+ years in full-stack development\n Strong experience with React, JavaScript, HTML5, and CSS3\n Backend experience with Node.js, microservices, and Python\n Experience designing scalable applications and database schemas\n Knowledge of authentication/authorization across systems and environments\n Familiarity with server-side templating languages\n Experience with unit testing, debugging, and AWS (Lambda, S3, EC2)\n Strong problem-solving, attention to detail, and communication skills\n Self-starter mindset with ability to identify and solve problems in a fast-paced startup environment\n \n  \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $128,000 to $145,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.\n  \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Behavioral Interview(s)\n Case Study\n \n *Subject to change\n  \n About Cohere Health: \n Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.\n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 \u0026 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.\n The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.\n We can’t wait to learn more about you and meet you at Cohere Health! \n Equal Opportunity Statement:  \n Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.\n  \n  \n #LI-Remote\n #BI-Remo","salary_min":128000,"salary_max":145000,"location":"United States","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["microservices","healthcare","cloud","payments"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7691011003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-13T13:29:03Z","expires_at":"2026-06-29T14:06:06.066655Z","created_at":"2026-04-13T14:58:49.503662Z","updated_at":"2026-05-30T14:06:06.174676Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/46019328-dce2-4894-89ae-7d548f84d7e4"},{"id":"0d11d3bc-55db-4595-89c9-97be106b8fdb","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Staff Attack Engineer, AI/LLM","slug":"staff-attack-engineer-aillm-97033410","description":"Get to Know Us\n\nHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n \n\n\nSUMMARY\n\nWe are hiring a Staff Attack Engineer specializing in AI/LLM security to join our team. You will break AI and agentic systems and turn that research into automated attacks inside NodeZero, our autonomous pentesting platform.\n\nThis is not consulting or manual pentesting; the goal is to build repeatable, scalable attack patterns that run autonomously across customer environments. You’ll also help drive our LLM-powered offensive capabilities and act as a technical leader for AI/LLM offense.\n\n\n\n\nESSENTIAL FUNCTIONS\n\n\nATTACKING AI/LLM SYSTEMS\n\n - Break AI and agentic systems and translate that research into automated, repeatable attack modules for NodeZero.\n\n - Design and execute prompt injection and defense evasion attacks, focusing on generalized, reusable patterns.\n\n - Conduct tool-use exploitation, abusing LLM agents’ access to code, file systems, APIs, and databases for attacker-realistic outcomes (e.g., context poisoning, RCE, data exfiltration, privilege escalation).\n\n - Target AI infrastructure (model serving, training pipelines, vector databases, GPU/MLOps tooling) with an understanding of real-world enterprise deployments and misconfigurations.\n\n - Research and apply model and supply chain attacks (poisoning, training data extraction, adversarial inputs, deployment pipeline abuse).\n\n - Perform threat modeling for agentic systems, mapping trust boundaries and attack surfaces and turning them into concrete attack paths.\n\n - Apply a strong productization mindset, turning manual techniques into safe, reliable, and scalable automated tooling.\n\n\nBUILDING WITH LLMS\n\n - Build and extend LLM-powered applications (prompting, structured output, agentic workflows).\n\n - Design with production concerns in mind: cost, safety and hallucination guardrails, reliability, and observability.\n\n - Design and extend microservices that orchestrate LLM tasks and integrate with NodeZero and related offensive workflows.\n\n\n\n\nCOMPETENCIES / REQUIREMENTS\n\n - Expert-level Python and software engineering skills.\n\n - Solid penetration testing fundamentals and understanding of common attack chains.\n\n - Familiarity with AI/LLM security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS).\n\n - Experience in a security product or offensive security team, ideally with shipped offensive capabilities or tooling.\n\n - Proven ability to break AI/LLM and agentic systems.\n\n - Clear understanding of trust boundaries around AI tools, data sources, and permissions, and how to systematically test and exploit them.\n\n - Expert-level ownership – drives high-complexity, high-risk programs and sets strategy, not just execution.\n\n - Self-motivated – identifies problems and builds solutions proactively.\n\n - Industry obsessed – tracks the fast-moving AI security landscape and can speak to recent developments, new attacks, and where the field is heading.\n\n\n\n\nNICE-TO-HAVE\n\n - Experience with other cloud AI services (e.g., Azure OpenAI, GCP Vertex AI).\n\n - Contributions to AI security research (blog posts, conference talks, CVEs, open-source tools).\n\n - Experience with AWS Bedrock and AWS Agent Core.\n\n - Familiarity with graph databases (e.g., Neo4j).\n\n - Background in traditional exploit development or vulnerability research.\n\n - CTF experience, particularly in AI/ML-focused challenge categories. \n   \n   \n\nPerks of Horizon3.ai\n\n - Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.\n\n - Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.\n\n - Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.\n\n - Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote","salary_min":223000,"salary_max":275000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["embeddings","microservices","cloud","llm","agents","mlops","security"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/94efbe91-1cdb-4875-99ec-a5680628d895/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-10T15:28:25.055Z","expires_at":"2026-06-29T14:06:11.356515Z","created_at":"2026-04-13T09:42:22.565658Z","updated_at":"2026-05-30T14:06:11.467856Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0d11d3bc-55db-4595-89c9-97be106b8fdb"},{"id":"ea3650d2-49c6-4847-bd6a-213525dbe05a","company_id":"0143fcae-f513-4ef7-a87b-e1d0d136f7a6","title":"Forward Deployed Engineer","slug":"forward-deployed-engineer-cb0f84c7","description":"About Workato \n Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com \n Why join us? \n Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.  \n But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.  \n If this sounds right up your alley, please submit an application. We look forward to getting to know you! \n Also, feel free to check out why: \n \n \n Business Insider named us an “enterprise startup to bet your career on” \n \n Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world \n \n Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America \n \n Quartz ranked us the #1 best company for remote workers \n \n Responsibilities \n We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team.. In this role, you will be responsible for designing, developing, and deploying advanced AI agentic solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.\n \n \n Implement agent-based AI solutions using the Workato Agentic AI platform\n \n Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform\n \n Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)\n \n Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows\n \n Act as a technical solutions expert with strong aptitude for troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform\n \n Develop and maintain robust, scalable, AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform\n \n Continuously monitor and improve AI system performance, ensuring efficiency and reliability\n \n Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation\n \n Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment\n \n Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base\n \n Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise\n \n Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs\n \n Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences\n \n Requirements \n Qualifications / Experience / Technical Skills \n \n \n BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field\n \n A total of 4+ years of relevant experience in design, development, and implementation.\n \n 1+ year of experience with Workato or similar workplace orchestration and integration platform, is a must\n \n Proven experience in AI engineering, with a focus on agent-based systems\n \n Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations\n \n Knowledge of implementing integration projects is essential. Hands-on","salary_min":70000,"salary_max":100000,"location":"Boston, MA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["fine-tuning","microservices","cloud","agents","rag","llm"],"apply_url":"https://www.workato.com/careers?gh_jid=8437707002#open-roles","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-31T16:48:29Z","expires_at":"2026-06-29T14:19:15.888607Z","created_at":"2026-05-27T14:20:12.117613Z","updated_at":"2026-05-30T14:19:16.007246Z","company_name":"Workato","company_slug":"workato","company_logo_url":"https://www.google.com/s2/favicons?domain=workato.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ea3650d2-49c6-4847-bd6a-213525dbe05a"},{"id":"8573817b-8683-49b7-8037-d4354789bef7","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Senior Software Engineer, Intelligent Messaging","slug":"senior-software-engineer-intelligent-messaging-ai-journeys-1ed9466a","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role \n Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.\n As a Senior Software Engineer in our Intelligent Messaging, you will pioneer the future of personalized 1:1 marketing by architecting robust, scalable backend systems powered by advanced AI and LLMs, including cutting-edge Generative AI and GPT technologies. Collaborating with top-tier engineers, data scientists, product managers, and designers, you’ll craft the foundation and reshape the platform of multi-channel messaging experimentation to support innovative, AI-driven applications that empower marketers to forge deep, meaningful connections with consumers at scale. Your impactful work will drive the delivery of billions of tailored messages, transforming consumer shopping experiences and fueling success for the world’s leading brands.\n What You’ll Accomplish \n \n Develop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliability.\n Collaborate with cross-functional teams to build applications that support multi-channel communications for marketers.\n Implement and optimize systems that process and deliver billions of messages daily.\n Improve code quality through code reviews, testing, and advocating for best practices.\n Identify and address technical debt to ensure the long-term health of our codebase.\n Drive architectural design and technical decisions, and stay current with emerging technologies to enhance our products.\n \n Your Expertise \n \n 5+ years of professional experience in software development focusing on backend systems.\n Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming.\n Experience building and maintaining scalable, high-performance applications.\n Proven ability to collaborate effectively with cross-functional teams.\n Solid understanding of software development best practices, including code reviews, writing tests, and continuous integration.\n \n Nice to Haves \n \n Experience with service-oriented architecture and distributed systems.\n Familiarity with AWS services and cloud infrastructure.\n Knowledge of databases such as DynamoDB, Postgres, or Redis.\n Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar).\n Familiarity with frontend development with React and TypeScript.\n Experience with DevOps practices and tools such as Docker and Kubernetes.\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS.\n Infrastructure tooling includes Istio, Datadog,Terraform, CloudFlare, and Helm.\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS.\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas.\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $190,000 - $230,000 annually   + equity + benefits\n Our salary ranges are determined by role, level ","salary_min":190000,"salary_max":230000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["api-design","pytorch","microservices","generative-ai","tensorflow","distributed-systems","llm","cloud"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4194934009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-25T15:41:47Z","expires_at":"2026-06-29T14:18:28.074496Z","created_at":"2026-04-17T04:55:20.22894Z","updated_at":"2026-05-30T14:18:28.191357Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8573817b-8683-49b7-8037-d4354789bef7"},{"id":"e246e2f2-06da-4651-bf00-ef95a2c943a9","company_id":"b4787255-dacd-444b-8e44-bb9971ec1f36","title":"Senior Software Engineer","slug":"senior-software-engineer-2678ce22","description":"ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.\n As a Senior Software Engineer on our Advertising, Company Intelligence, and Intent team, you’ll help design and implement the core systems that power our real-time marketing platform. From high-throughput ad infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, push the boundaries of scale, intelligence, and speed—and deliver real-world business impact.\n You’ll be joining a team with a broad range of ambitious, technically deep projects—from APIs that process tens of billions of events per day, to new buyer intent algorithms powered by LLMs, to a unified B2B identity graph. Depending on your strengths and interests, you’ll be matched to the initiatives where you can have the greatest impact.\n This is a high-growth, high-ownership environment operating at the edge of what’s possible in modern software engineering, data infrastructure, and applied AI.\n What You'll do: \n \n Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time\n Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform\n Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making\n Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights\n Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads\n Drive quality, performance, scalability, and observability across all systems you own\n Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling\n Contribute to technical leadership and mentorship of teammates. \n \n What you bring: \n \n 9+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.\n Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines)\n Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale)\n Applied AI/ML , including use of LLMs for extraction, classification, or reasoning tasks.\n Proficiency in one or more core languages:  Java, Go, Python \n Solid grasp of SQL and large-scale data modeling\n Familiarity with databases and tools such as: ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake\n Comfortable using LLMs as part of your development workflow—whether via tools like Copilot, Cursor, ChatGPT, Claude, or others—to boost productivity, explore architecture ideas, and rapidly prototype.\n Skilled at designing and implementing LLM-powered systems such as RAG pipelines, agent frameworks (e.g., LangGraph), or intelligent workflows that reason across large datasets in real time.\n \n Bonus Points: \n \n Experience in ad tech, real-time bidding (RTB), or programmatic systems\n Background in identity resolution, attribution, or behavioral analytics at scale\n Contributions to open source in ML, infrastructure, or data tooling\n Strong product instincts and a passion for building tools that drive meaningful outcomes\n \n #LI-SK1\n #LI-Remote\n  \n Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.\n In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here .\n Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.\n $140,000 — $220,000 USD \n About us:  \n ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.\n ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.\n ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, includin","salary_min":140000,"salary_max":220000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","data-pipeline","llm","code-generation","rag","microservices","agents","data-science"],"apply_url":"https://www.zoominfo.com/careers?gh_jid=8441732002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-16T23:55:43Z","expires_at":"2026-06-29T14:18:22.537031Z","created_at":"2026-04-17T04:55:13.689573Z","updated_at":"2026-05-30T14:18:22.649464Z","company_name":"ZoomInfo","company_slug":"zoominfo","company_logo_url":"https://www.google.com/s2/favicons?domain=zoominfo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e246e2f2-06da-4651-bf00-ef95a2c943a9"},{"id":"e75c6e3b-d98a-466d-8115-e3b49f962987","company_id":"ff51c80a-dce9-4cb4-b2e6-9c060d25ef55","title":"Product Security Engineer ","slug":"product-security-engineer-1ee772fe","description":"About Applied Intuition\n Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co .\n We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. \n About the role \n We are seeking a multifaceted Product Security Engineer whose role will be to embed security directly into the Applied Intuitions product design and development lifecycle. Working closely with cross-functional engineering teams, you will play a crucial role in securing our application platform.\n At Applied Intuition, you will: \n \n Analyze Applied Intuition’s applications and system architectures from their inception to release. Proactively identify potential security vulnerabilities and integrate robust security controls and conduct architecture reviews and threat modeling.\n Conduct regular security assessments and utilize AI-assisted testing on products and systems to systematically identify and mitigate vulnerabilities before they can be exploited.\n Assist in maturing Applied’s vulnerability management program and drive risk-contextualized resolutions discovered through various security platforms, collaborating closely with development teams.\n Provide continuous guidance and education to developers on secure coding practices, emerging threats, and general security best practices to cultivate a security-conscious culture.\n Collaborate with incident response teams and join security incident calls that impact product operations and create targeted remediation suggestions based on current threat landscapes.\n Work alongside software engineers to mature automated SAST and DAST tooling to secure development frameworks and CI/CD pipelines.\n \n We're looking for someone who has: \n \n 5+ years of demonstrable experience as a Security Engineer, Application Security Engineer, or Product Security Engineer within a highly complex, rapidly scaling software organization.\n Proficiency in modern programming languages (such as Python, Typescript, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with modern security protocols and encryption methods.\n Implemented AI to rapidly identify, validate, and scale security programs.\n Deep, practical knowledge of container security (Kubernetes), compute constraints, and securing ephemeral workloads across major public cloud platforms (AWS, GCP, Azure) and on-premises environments.\n Hands-on experience deploying, tuning, and automating SAST, DAST, and CI/CD pipeline security tools.\n Specific operational experience configuring and driving remediation through cloud security platforms.\n Proven experience securing large-scale platform migrations and managing the distinct security lifecycles of both legacy systems and modern microservices.\n \n Nice to have: \n \n Direct professional experience in the autonomous vehicle, automotive, aerospace, or defense sectors.\n Familiarity with physics-based simulation environments, deterministic computing constraints, or managing High-Performance Computing (HPC) clusters.\n Demonstrable contributions to open-source security tools, published vulnerability research, or recognized vulnerability disclosures (CVEs)\n \n Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.\n Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally b","salary_min":125000,"salary_max":160000,"location":"Sunnyvale, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["cloud","autonomous-vehicles","microservices","security"],"apply_url":"https://boards.greenhouse.io/appliedintuition/jobs/4672843005?gh_jid=4672843005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-13T20:08:23Z","expires_at":"2026-06-29T14:03:35.119836Z","created_at":"2026-04-13T09:39:19.238925Z","updated_at":"2026-05-30T14:03:35.235736Z","company_name":"Applied Intuition","company_slug":"applied-intuition","company_logo_url":"https://www.google.com/s2/favicons?domain=appliedintuition.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e75c6e3b-d98a-466d-8115-e3b49f962987"}],"page":1,"per_page":20,"total":214,"total_pages":11}