{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"48720738-0f4b-483d-9739-14039ae457d0","company_id":"a0000000-0000-0000-0000-000000000001","title":"Research Engineer, Performance RL (Reinforcement Learning) ","slug":"research-engineer-performance-rl-2f0da25a","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the RL Teams \n Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.6 and Opus 4.6. Our work spans several key areas:\n \n \n Developing systems that enable models to use computers effectively\n \n Advancing code generation through reinforcement learning\n \n Pioneering fundamental RL research for large language models\n \n Building scalable RL infrastructure and training methodologies\n \n Enhancing model reasoning capabilities\n \n We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.\n About the Role \n We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to safely write correct, fast code for accelerators.\n You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:\n \n \n Invent, design and implement RL environments and evaluations.\n \n Conduct experiments and shape our research roadmap.\n \n Deliver your work into training runs.\n \n Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.\n \n You may be a good fit if you:\n \n \n Have expertise with accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch).\n \n Have worked across the stack – kernels, model code, distributed systems.\n \n Know how to balance research exploration with engineering implementation.\n \n Are passionate about AI's potential and committed to developing safe and beneficial systems.\n \n Strong candidates may also have:\n \n \n Experience with reinforcement learning.\n \n Experience porting ML workloads between different types of accelerators.\n \n Familiarity with LLM training methodologies.\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $350,000 — $850,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a ","salary_min":350000,"salary_max":850000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["gpu","alignment","search","jax","distributed-systems","code-generation","pytorch","llm"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5160330008","is_featured":true,"is_sticky":true,"status":"active","published_at":"2026-03-23T16:27:59Z","expires_at":"2026-08-14T14:00:28.788703Z","created_at":"2026-04-13T09:36:00.086246Z","updated_at":"2026-07-15T14:00:28.927351Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/48720738-0f4b-483d-9739-14039ae457d0"},{"id":"f47b2b52-9138-4056-a197-783873a96c39","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Member of Technical Staff - Voice Model","slug":"member-of-technical-staff-voice-model-5b5f6cb9","description":"SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.  Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n ABOUT THE ROLE:\n You will join the Grok Voice Model team to help build the world’s best voice AI. We deliver smooth, natural, low-latency spoken interactions — expressive, multilingual, and reliable across devices and real-time scenarios. We own the full training pipeline: massive data curation, premium audio processing, frontier speech-language pre-training, and intensive post-training to push quality, speed, and stability to the limit.\n Our goal: make talking to AI feel like conversing with the most charming, kind, and knowledgeable person imaginable. We’re seeking exceptionally smart, execution-oriented engineers to help us get there.\n RESPONSIBILITIES:\n \n Design and execute large-scale speech data curation and processing pipelines, including collection of diverse real-world audio, synthetic data generation, and automated annotation workflows to enable high-quality model training and evaluation.\n Work on pre-training and post-training of speech-language models, with targeted enhancements through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice responses are accurate, factually grounded, natural and idiomatic in spoken style, conversational in tone, and fluent across multiple languages.\n Build and iterate a comprehensive evaluation framework covering objective metrics (accuracy, quality, latency, expressiveness), human preference studies, content factuality assessments, real-time interaction quality, and experimentation infrastructure to measure and improve performance.\n Work closely with product teams to integrate voice models into applications and real-time environments, define spoken interaction specifications, and handle the full lifecycle from prototype to global-scale deployment for stable, low-latency, delightful voice experiences.\n \n BASIC QUALIFICATIONS:\n \n Python expert with deep proficiency in writing clean, efficient code for AI/ML systems.\n Hands-on experience processing large-scale datasets using tools like Spark and Ray for cleaning, augmentation, and feature extraction.\n Proficiency in pre-training and post-training speech-language models using JAX/PyTorch, including supervised fine-tuning, reinforcement learning, and optimizations for accuracy, factuality, natural spoken style, detail, and multilingual fluency.\n Ability to set up and run rigorous evaluation pipelines: objective metrics, human preference studies, content factuality checks, and iterative A/B testing to drive model improvements.\n Experience building or working with large-scale distributed training and inference systems on Kubernetes.\n Proactive, self-driven attitude — ready to grind in a fast-paced, high-caliber team to deliver outstanding voice AI experiences.\n \n COMPENSATION AND BENEFITS:\n $150,000 - $450,000 USD\n Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short \u0026 long-term disability insurance, life insurance, and various other discounts and perks.\n SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .","salary_min":150000,"salary_max":450000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["speech","fine-tuning","reinforcement-learning","distributed-systems","pytorch","pre-training"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5051966007","is_featured":true,"is_sticky":false,"status":"active","published_at":"2026-03-16T20:39:18Z","expires_at":"2026-08-14T14:04:44.897369Z","created_at":"2026-04-13T09:38:43.3144Z","updated_at":"2026-07-15T14:04:45.027875Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f47b2b52-9138-4056-a197-783873a96c39"},{"id":"fd4226af-9faa-4819-8327-113cce284a3e","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Software Engineer, Delivery / CD","slug":"software-engineer-delivery-cd-ac48f409","description":"About the Role\n\nThe Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production.\n\nWe own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous.\n\nThis role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.\n\n\n\nIn This Role, You Will\n\n - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions.\n\n - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback.\n\n - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows.\n\n - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.\n\n - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.\n\n - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks.\n\n - Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.\n   \n   \n\nTechnologies commonly used in this environment include:\n\n\n\n - Kubernetes for large-scale container orchestration and runtime infrastructure\n\n - Python and FastAPI for internal services\n\n - Terraform for infrastructure as code\n\n - GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)\n\n - Buildkite for CI orchestration\n   \n\nYou may be a strong fit if you:\n\n - Have worked with Kubernetes-based deployment systems at scale\n\n - Have experience building or operating continuous deployment platforms\n\n - Are familiar with GitOps tooling such as ArgoCD or Flux\n\n - Are excited about building AI-assisted systems and agents that intelligently shepherd software changes from commit to safe production rollout.\n\n - Care deeply about safe production rollouts and minimizing blast radius\n\n - Enjoy building internal platforms that improve developer productivity across the organization\n   \n   \n\nCompensation\n\n$230K – $490K + Offers Equity\n\n\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241\u0026k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg\u0026d=57018692298241.\n\nOpenAI Global Applicant Privacy P","salary_min":230000,"salary_max":490000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/openai/e14fc37c-7ae5-4a6b-ba0d-a36860cf9bb2/application","is_featured":true,"is_sticky":false,"status":"active","published_at":"2026-05-04T18:54:22.168Z","expires_at":"2026-08-14T14:01:12.345034Z","created_at":"2026-04-13T09:36:32.989672Z","updated_at":"2026-07-15T14:01:12.47751Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/fd4226af-9faa-4819-8327-113cce284a3e"},{"id":"7466ea68-e22a-4989-93a5-1db0ae5979e1","company_id":"a0000000-0000-0000-0000-000000000003","title":"Software Engineering Manager, Public Sector ","slug":"software-engineering-manager-public-sector-dd16fefc","description":"Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers.\n This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute.\n You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs.\n Must be able to commute to office three times per week \n You will: \n \n Recruit a high-performing engineering team. \n Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. \n Collaborating with cross-functional teams to define, design, and execute strategic roadmap.\n Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks.\n Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure\n Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners\n Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions\n Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions\n Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings\n Have or ability to obtain a TS/SCI clearance \n \n Ideally you’d have: \n \n 5+ years of full-time engineering experience, post-graduation\n 2+ years of prior engineering management or equivalent experience and has managed an engineering team.\n Have extensive experience in software development\n Experience scaling products at hyper-growth startups\n Excitement to work with AI technologies and their applications for the public sector\n Extremely strong track record as an individual contributor\n Show a track record of mentoring and leading teams in successful projects\n Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders\n \n Nice to haves: \n \n TS/SCI Clearance\n Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team.\n Have experience with AI platforms and technologies, including generative models and LLMs.\n Have previous experience in government or government facing technology roles\n Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \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 locations of San Francisco, New York is:\n $216,000 — $270,000 USD \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 locations of Washington DC is:\n $194,400 — $243,000 USD \n Please reference the job posting's subtitle for wher","salary_min":162400,"salary_max":203000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","distributed-systems","generative-ai","mlops"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4715325005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T01:05:55Z","expires_at":"2026-08-14T14:01:49.051439Z","created_at":"2026-07-15T14:01:49.182522Z","updated_at":"2026-07-15T14:01:49.182522Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7466ea68-e22a-4989-93a5-1db0ae5979e1"},{"id":"96c4b57f-c214-4de0-829c-cda4957c7a17","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Software Engineer, Agent Oversight","slug":"senior-software-engineer-agent-oversight-a8682235","description":"About Scale\n Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust.\n About the Team\n Applied Intelligence Systems team is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power Agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like.\n About the Role\n As a Software Engineer on Agent Oversight, you will build the platform infrastructure that lets our production agents be observed, evaluated, and improved at scale. This includes building observability tooling, evaluation harnesses, and the pipelines that connect them to improvement loops. Whether building foundational infrastructure or partnering closely with ML engineers on production workflows, you will own your systems end-to-end while maintaining rigorous technical standards.\n You will:\n \n Design and build core platform capabilities for deploying, monitoring, and evaluating agentic applications in production\n Build reliable APIs and data pipelines that capture agent telemetry, evaluation signals, and performance metrics at scale\n Work alongside ML engineers where platform work intersects with evaluation or improvement systems — bringing enough ML fluency to reason about model behavior, evaluation quality, and improvement loops while owning the software systems that make those workflows reliable\n Own the reliability, scalability, and observability of platform components serving multiple concurrent enterprise and government customers\n Work cross-functionally with product, forward deployed engineering, and customers to translate real-world deployment requirements into platform features\n Build features end-to-end: system design, implementation, debugging, and testing\n Participate in high-velocity experimentation to validate platform capabilities against real customer usage\n \n Requirements:\n \n 4+ years of professional software engineering experience, with strong fundamentals in backend/distributed systems, APIs, and data pipeline design\n Hands-on experience building production software for ML/LLM-powered products or platforms, such as evaluation systems, observability/monitoring, experimentation infrastructure, agent runtimes, model-serving-adjacent services, or telemetry/data pipelines\n Working knowledge of how LLM or ML systems behave in production: evaluation signals, failure modes, prompt/tool-calling workflows, experiment results, data quality issues, and the tradeoffs between offline evals and live customer behavior\n Experience partnering closely with ML engineers or applied researchers to turn prototypes, eval loops, or model-improvement workflows into reliable platform capabilities, without needing to own model training, modeling strategy, or research direction\n Experience building infrastructure or platforms that other engineering teams build on top of (internal platform, developer tools, or similar)\n Track record of taking ownership of features or components end-to-end — from design through production — within a larger platform or system\n Comfortable operating in an ambiguous, fast-changing domain where tooling and best practices are still being defined\n Strong problem-solving skills and the ability to work independently or as part of a tight-knit, cross-functional team\n Excited to work directly with ML engineers and customer-facing teams, including challenging assumptions in designs and metrics when platform behavior, model behavior, and customer needs intersect\n Gives direct, substantive feedback on designs and code, and takes it the same way — and mentors others as they grow\n \n Nice to have:\n \n Deep experience building or maintaining observability, monitoring, or evaluation systems for ML/LLM-powered products in production\n Familiarity with agent architectures — tool use, planning, multi-agent orchestration\n Exposure to MLOps, feature stores, model serving, or experiment infrastructure\n Experience working in regulated or enterprise contexts\n Experience reviewing others’ technical designs or mentoring engineers at a senior/staff level\n Compensation packages at Scale for eligible roles include base s","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","mlops","generative-ai","agents","autonomous-vehicles","llm","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4714509005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T20:12:46Z","expires_at":"2026-08-14T14:01:47.306812Z","created_at":"2026-07-15T14:01:47.543291Z","updated_at":"2026-07-15T14:01:47.543291Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/96c4b57f-c214-4de0-829c-cda4957c7a17"},{"id":"c2d1990a-6a3b-4236-9209-26c9f4b3c2e0","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Product Manager, Infrastructure","slug":"staff-product-manager-infrastructure-d7875890","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Product Manager on the Core Platform team at Harvey, you'll own the strategy, roadmap, and execution for the infrastructure that powers every user interaction with our global legal AI platform. Harvey serves the world's leading legal teams, processing trillions of tokens and millions of daily requests, and your work will shape how that capability reaches our users.\n\nYou'll operate at the intersection of deep customer need and hard technical constraints, translating the workflows of lawyers and other professionals into product requirements that engineering can build against. You'll balance ambitious, zero-to-one product bets with the operational discipline required to keep a mission-critical platform reliable, scalable, and secure as we expand across products, regions, and customers. Your decisions will directly influence adoption, retention, and the trust that our enterprise customers place in Harvey.\n\n\n\n\nWHAT YOU'LL DO\n\nYou'll partner directly with our Head of Infrastructure to define and drive the product vision and roadmap for a core area of the Harvey platform, aligning it with company strategy and grounding it in evidence from customers (external and internal), data, and the market. You'll work closely with engineering, product, and go-to-market teams to ship high-quality products on a predictable cadence, and you'll own the outcomes those products produce.\n\nDay to day, you will own the entire infrastructure planning, prioritization, and roadmapping. You’ll make and communicate crisp prioritization decisions, balancing new capabilities against reliability, performance, and security. You'll define the metrics that matter for your area — adoption, engagement, quality, and business impact — and hold the team accountable to them. You'll also serve as the connective tissue across functions, ensuring that customer feedback, competitive dynamics, and technical realities all inform the product direction, and you'll raise the product bar across the organization through rigorous specs, reviews, and decision-making. Some projects include architecting multi-region deployment strategies, developing comprehensive observability infrastructure, and more.\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 6+ years of product management experience shipping and scaling software platforms in a production environment, with a track record of measurable impact\n\n - Experience owning complex, technical products end to end, including platform, infrastructure, or AI/ML capabilities\n\n - Strong ability to translate ambiguous problems and deep customer needs into clear strategy, crisp requirements, and prioritized roadmaps\n\n - Fluency working with engineering and design teams on technical trade-offs, and comfort engaging with concepts like distributed systems, APIs, and cloud infrastructure at a level sufficient to make informed decisions\n\n - Excellent analytical skills, with the ability to define metrics and use data to guide decisions\n\n - Outstanding written and verbal communication, and a demonstrated ability to influence and align stakeholders across functions\n\n - A high bar for quality, strong product judgment, and a \"spidey sense\" for where a product experience could break down\n\nNice to Have\n\n - Experience building products for legal, professional-services, or other expert users with demanding accuracy and trust requirements\n\n - Background with AI/ML products, LLM-powered applications, or high-throughput inference systems\n\n - Experience with multi-tenant, enterprise platforms subject to strict security and compliance requirements\n\n - Prior experience partnering closely with infrastructure or platform engineering teams\n\n - A prior career in law or another professional-services field, or e","salary_min":213600,"salary_max":300000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","cloud","llm","agents","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/harvey/d629fa64-599d-435c-b4ef-a925299ddac8/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T00:04:08.326Z","expires_at":"2026-08-14T14:02:50.722292Z","created_at":"2026-07-15T14:02:50.87055Z","updated_at":"2026-07-15T14:02:50.87055Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c2d1990a-6a3b-4236-9209-26c9f4b3c2e0"},{"id":"390fffaf-6a9c-47f1-b56c-cd3a51ddec12","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Engineering Manager, Production Engineering","slug":"senior-engineering-manager-production-engineering-18d99048","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nHarvey is building the AI platform trusted by the world's leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.\n\nWe're looking for a Senior Engineering Manager to lead our Infrastructure Foundation \u0026 Production Quality Engineering organization. This team is responsible for building and operating Harvey's core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations that enable engineering teams to move quickly with confidence.\n\nIn this role, you'll own the reliability, scalability, security, and efficiency of Harvey's infrastructure platform. You'll lead a team of high-performing engineers responsible for compute fleet management, capacity planning, infrastructure automation, and production operations. You'll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey's rapid growth.\n\nYou'll report to the Head of Infrastructure and play a key leadership role in shaping the future of Harvey's infrastructure platform.\n\nAt Harvey, we value Decisiveness, Simplicity, and the belief that Job's Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.\n\n\n\n\nWHAT YOU'LL DO\n\n\nLEADERSHIP \u0026 STRATEGY\n\n - Lead, mentor, and grow a team of high-performing infrastructure engineers responsible for Harvey's production infrastructure foundation.\n\n - Foster a culture of operational excellence, engineering quality, customer ownership, and continuous improvement.\n\n - Partner with Engineering, Security, Product, and AI Infrastructure leaders to define long-term infrastructure strategy and execution priorities.\n\n - Drive technical direction for compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.\n\n - Lead cross-functional initiatives to improve reliability, scalability, security, operational efficiency, and infrastructure cost optimization.\n\n\nINFRASTRUCTURE FOUNDATION \u0026 PRODUCTION OPERATIONS\n\n - Own and operate Harvey's global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.\n\n - Manage compute resources to maximize utilization, performance, and service availability while supporting rapidly growing AI workloads.\n\n - Lead capacity planning, demand forecasting, and fleet lifecycle management to ensure infrastructure scales efficiently with business growth.\n\n - Operate and continuously improve Harvey's Kubernetes platform, including cluster provisioning, upgrades, monitoring, reliability, performance, and operational automation.\n\n - Own Harvey's Temporal-based workflow orchestration platform, ensuring reliable, scalable, and observable execution of distributed application workflows.\n\n - Drive infrastructure cost optimization through capacity management, resource rightsizing, workload efficiency improvements, and utilization monitoring.\n\n - Build and maintain secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.\n\n - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.\n\n - Establish comprehensive observability, monitoring, alerting, incident response, and operational readiness practices across the infrastructure platform.\n\n\n\n\nWHAT YOU HAVE\n\n - 7+ years of software or infrastructure engineering experience, including 5+ years leading engineering teams.\n\n - Deep expertise operating large-scale cloud infrastructure on","salary_min":272000,"salary_max":355000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","llm","cloud","agents"],"apply_url":"https://jobs.ashbyhq.com/harvey/8e420b36-6711-49dd-8a64-f246270af7d3/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T23:51:16.213Z","expires_at":"2026-08-14T14:02:47.991444Z","created_at":"2026-07-15T14:02:48.123991Z","updated_at":"2026-07-15T14:02:48.123991Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/390fffaf-6a9c-47f1-b56c-cd3a51ddec12"},{"id":"b5fee987-f2ea-4b80-a04f-395e616158d8","company_id":"c93e0284-9c76-4a85-9905-494865ab9278","title":"AI Systems Performance Engineer - New Graduate","slug":"ai-systems-performance-engineer-new-graduate-e4bfa2f7","description":"The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. \n SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. \n About The Role \n We are seeking a talented and highly motivated AI Systems Performance Engineer to bring up and optimize state-of-the-art foundation models on SambaNova's reconfigurable dataflow platform.\n You'll work hands-on with advanced AI models — such as DeepSeek, GLM, Kimi, GPT OSS, Llama, Qwen, and other frontier architectures — and learn how modern AI systems achieve high throughput, low latency, and efficient large-scale inference.\n In this role, you'll work at the intersection of machine learning and computer systems, collaborating with engineers across model, compiler, runtime, and hardware teams. This is an ideal opportunity for a new graduate who is passionate about understanding how AI models execute on real hardware and wants to help build the next generation of high-performance AI systems.\n Responsibilities \n \n Bring up cutting-edge foundation models, including LLMs and multimodal models, on the SambaNova platform through the SambaNova software stack.\n Analyze and profile model execution to identify performance bottlenecks across model, compiler, runtime, and hardware layers.\n Optimize AI workloads for throughput, latency, memory efficiency, and scalability.\n Collaborate with machine learning, compiler, runtime, and hardware engineers to develop high-performance AI applications.\n Explore and integrate new techniques in model architecture, quantization, scheduling, caching, and memory optimization.\n Develop tools, benchmarks, and performance analysis methodologies for large-scale AI inference.\n Investigate new model architectures and translate research advances into efficient implementations on production AI systems.\n Contribute ideas for dataflow, scheduling, and system optimizations for both single-node and distributed inference.\n \n Basic Qualifications \n \n Bachelor's or Master's degree in computer science, electrical engineering, computer engineering, or a related technical field (e.g., applied mathematics, physics, or statistics), completed or expected before the start date.\n Strong programming skills in Python, C++, or a similar programming language.\n Solid foundations in algorithms, data structures, computer architecture, operating systems, or parallel computing.\n Familiarity with deep learning and at least one major ML framework, such as PyTorch, TensorFlow, or JAX.\n Strong analytical and problem-solving skills, with an interest in understanding and optimizing system performance.\n Ability and enthusiasm to learn across machine learning, software systems, and hardware.\n \n Preferred Qualifications \n \n Coursework, research, internship, or project experience in machine learning systems, computer architecture, compilers, distributed systems, or high-performance computing.\n Hands-on experience with LLMs, multimodal models, or transformer architectures.\n Familiarity with model inference, KV cache, batching, quantization, or distributed execution.\n Experience with GPU or accelerator programming using CUDA, Triton, OpenCL, or similar technologies.\n Familiarity with frameworks such as vLLM, DeepSpeed, Megatron, or TensorRT.\n Understanding of memory hierarchy, caching, parallelism, or scheduling.\n Experience profiling and optimizing the performance of software or ML workloads.\n Research publications, open-source contributions, programming competitions, or technically challenging personal projects are a plus.\n \n We value strong technical fundamentals, curiosity, and the ability to learn quickly. Prior production experience with large-scale AI systems is not required.\n Base Salary Range:\n Base Pay Range\n $135,000 — $165,000 USD \n Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.  \n EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex ","salary_min":135000,"salary_max":165000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["llm","gpu","distributed-systems","deep-learning","tensorflow","generative-ai","pytorch"],"apply_url":"https://sambanova.ai/sambanova-available-positions/?gh_jid=6115124004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T22:28:28Z","expires_at":"2026-08-14T14:06:10.228422Z","created_at":"2026-07-15T14:06:10.360035Z","updated_at":"2026-07-15T14:06:10.360035Z","company_name":"SambaNova Systems","company_slug":"sambanova","company_logo_url":"https://www.google.com/s2/favicons?domain=sambanova.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b5fee987-f2ea-4b80-a04f-395e616158d8"},{"id":"a817e307-049e-4a51-a9c1-ec5a47864c6e","company_id":"52f44519-9f93-4eac-ae0b-8be13e385ebe","title":"Search Engineer","slug":"search-engineer-fe5d3ce2","description":"SEARCH ENGINEER\n\n\n\nYou'll build the systems that let anyone turn the open web into a search index. Firecrawl's search product is one of our fastest-growing surfaces, and we need engineers who can make crawling, ranking, and retrieval fast, reliable, and cheap at scale. You'll own real infrastructure from day one — not tickets in a backlog.\n\n\n\nSalary Range: $190,000-$260,000/year (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)\n\nEquity Range: Competitive equity — details shared during the process.\n\nLocation: San Francisco, CA (Hybrid, on-site required)\n\nJob Type: Full-Time\n\nExperience: 3+ years building production backend or infra systems\n\nVisa: Must already be authorized to work in the US or our eligible remote-hire regions. We're not able to sponsor visas right now, though that may change down the line.\n\n\n\n\nABOUT FIRECRAWL\n\nFirecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data - the boring-hard problem everyone building with LLMs eventually hits, solved.\n\nWe hit 8 figures in ARR in year one and more than doubled it in year two. We have 147k+ GitHub stars, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.\n\nWe're a small team punching far above our weight. Everyone here owns a real piece of the product and company, end to end, and runs it themselves - no hiding behind process or headcount.\n\nThis is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build the crawling, indexing, and retrieval systems behind Firecrawl Search\n\n - Push down latency and cost per query while search volume grows\n\n - Improve ranking quality and freshness for LLM-driven retrieval\n\n - Own services end to end — design, ship, monitor, and iterate in production\n\n - Work directly with the Head of Search and the rest of the search team on the roadmap\n\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - You've built and operated backend or distributed systems at real scale\n\n - You care about latency, cost, and correctness in equal measure\n\n - You're comfortable owning ambiguous problems and turning them into shipped systems\n\n - You move fast and close the loop — you'd rather ship, measure, and iterate than perfect on paper\n\n\n\n\nWHAT WE'RE NOT LOOKING FOR\n\n - Someone who needs a fully-specced ticket to start\n\n - Someone who wants to specialize narrowly and hand off everything else\n\n - Someone who optimizes for process over shipping\n\n\n\n\nA NOTE ON PACE\n\nWe operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you.\n\n\n\n\nBENEFITS \u0026 PERKS\n\n\n\n\nAVAILABLE TO ALL EMPLOYEES\n\n - Salary that makes sense — $190,000–$260,000/year, based on impact, not tenure\n\n - Own a piece — Gain competitive equity in what you're helping build\n\n - Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge\n\n - Parental leave — 12 weeks fully paid, for all parents\n\n - Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human\n\n - Learning \u0026 Development — Expense up to $1,000/year toward anything that helps you grow professionally\n\n - Team offsites — A change of scenery, minus the trust falls\n\n - Sabbatical — 3 paid months off after 4 years, do something fun and new\n\n\n\n\nAVAILABLE TO US-BASED FULL-TIME EMPLOYEES\n\n - Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works\n\n - Life \u0026 Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs\n\n - Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind\n\n - Doctegrity telehealth — Talk to a doctor from your couch\n\n - 401(k) plan — Retirement might be a ways off, but future-you will thank you\n\n - Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit\n\n - Pet insurance — Because fur babies are family too\n\n\n\n\nAVAILABLE TO SF-BASED EMPLOYEES\n\n - SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy\n\n - E-Bike transportation — A loaner electric bike to get you around the city, on us\n\n\n\n\nINTERVIEW PROCESS\n\nApplication Review — Send us your work and a quick note on why this excites you. Show us what you've built —","salary_min":190000,"salary_max":260000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["search","llm","distributed-systems","agents"],"apply_url":"https://jobs.ashbyhq.com/firecrawl/762b4426-b4aa-4377-96d3-51f40c59cbf7/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-12T21:39:54.338Z","expires_at":"2026-08-14T14:17:50.097989Z","created_at":"2026-07-15T14:17:50.19743Z","updated_at":"2026-07-15T14:17:50.19743Z","company_name":"Firecrawl","company_slug":"firecrawl","company_logo_url":"https://www.google.com/s2/favicons?domain=firecrawl.dev\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a817e307-049e-4a51-a9c1-ec5a47864c6e"},{"id":"f85cfe22-626a-4ca6-a996-ecbec9f694e8","company_id":"0565e120-4260-434a-91f5-7009f7fcbbab","title":"Staff Software Engineer, AI Foundations (Agent Optimization)","slug":"staff-software-engineer-ai-foundations-agent-optimization-51cb0084","description":"About Us \n Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen.\n  \n Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble.\n  \n Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!\n \n About Us \n Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen.\n Our values guide us—they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble.\n Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!\n Summary \n We have an opening to hire a Staff Software Engineer - Agent Optimization \n Temporal provides a reliable foundation powering AI leaders such as OpenAI, NVIDIA, Cursor, Lovable, Replit, and others. Its adoption is expanding to users spanning a broad range of AI applications ranging from agents to data pipelines and everything in between.\n The mission of the AI Foundations team is to accelerate Temporal adoption across the entire ecosystem. Our approach combines a deep understanding of use cases with rigorous application of computer systems and software design principles.\n In this role, you will lead our agent agent optimization efforts. You will design tools and mechanisms to help Temporal users build agents that are optimized for token spend and response time while maintaining result quality. Model routing is a first step, but represents the tip of the iceberg of techniques that we can apply. For example, multi-agent architecture, cache policy, and context management are all relevant. Candidates for this role should have direct experience with this problem domain.\n You will work closely with other AI Foundations team members, e.g., those who focus on agentic development, maintaining a set of agents skills that lift performance of Codex, Claude Code, and similar tools for developers of Temporal applications. Other team members build ecosystem integrations or develop policy and security systems.\n If you thrive on blending theory and practice, then this is the right team for you. We are an action-oriented group that loves to ship fast and solve customer problems. We also seek thorough technical grounding for our work and invest in systems and practices that foster long-term success.\n Most of Temporal’s work is open source—see for yourself here: https://github.com/temporalio [new window]\n What You Will Do \n \n Work as a software engineer\n Maintain and expand a deep understanding of agentic coding\n Design and build agentic coding systems that we can trust to deliver high-quality outputs\n Develop a deep understanding of AI application development patterns and techniques, including emerging approaches and architectures.\n Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.\n Work with multiple programming languages: Python and TypeScript, Java, Go.\n Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.\n Work directly with our developer community to debug issues that need expert attention and get feedback on Temporal features and APIs.\n Write public technical documentation describing Temporal concepts and APIs.\n Go the extra mile to support a customer in need, on the rare occasion that our teams’ engineering expertise is needed.\n Travel to meet your coworkers for a week once or twice a year.\n Attend the occasional developer conference to talk about how great Temporal is (optional).\n \n What You Won’t Do \n \n Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.\n Work in an office (unless you want to, but you’d be by yourself). Temporal is a fully-remote company.\n Commit code that’s poorly-tested or works “most of the time”. Temporal aspires to be “Reliable as Gravity”, and we expec","salary_min":224000,"salary_max":302400,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","generative-ai","agents","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/temporaltechnologies/jobs/5184712007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T23:09:00Z","expires_at":"2026-08-14T14:07:37.278847Z","created_at":"2026-07-12T14:05:18.355113Z","updated_at":"2026-07-15T14:07:37.407734Z","company_name":"Temporal","company_slug":"temporal","company_logo_url":"https://www.google.com/s2/favicons?domain=temporal.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f85cfe22-626a-4ca6-a996-ecbec9f694e8"},{"id":"624a206a-77bf-4580-8cdd-be32f7688f73","company_id":"a0000000-0000-0000-0000-000000000001","title":"Red Team Engineer, Safeguards","slug":"red-team-engineer-safeguards-ce8b1599","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.\n While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.\n Key responsibilities \n \n Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques\n Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms\n Design and execute \"full kill chain\" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives\n Build and maintain systematic testing methodologies that evaluate every aspect of our systems\n Develop automated testing frameworks to enable continuous assessment at scale\n Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements\n Help establish metrics for measuring detection effectiveness of novel abuse\n \n Minimum qualifications \n \n Experience in penetration testing, red teaming, or application security\n Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors\n Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)\n Experience building custom automation, including LLM-specific testing frameworks\n A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways\n A public body of work such as CVEs, blog posts, or disclosed bug bounty reports\n Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences\n \n Preferred qualifications \n \n Experience with AI/ML security or adversarial machine learning\n Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks\n Experience testing API security and rate-limiting systems\n Background in testing business logic vulnerabilities and authorization bypass techniques\n Background in anti-fraud, trust \u0026 safety, or abuse prevention systems\n Familiarity with distributed systems and infrastructure security\n Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses\n Adaptability to understand and build engagements around emerging threats outside your direct area of expertise\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, s","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","security","agents","llm","payments","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5320469008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:50:56Z","expires_at":"2026-08-14T14:00:26.778559Z","created_at":"2026-07-12T14:00:24.449098Z","updated_at":"2026-07-15T14:00:26.90493Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/624a206a-77bf-4580-8cdd-be32f7688f73"},{"id":"21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Platform Engineer, Service Infrastructure","slug":"staff-platform-engineer-service-infrastructure-e2c5b795","description":"About the Role \n Together AI is hiring a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.\n Product Foundations builds and operates Together’s mission-critical product platforms that support all cloud products, including API Platform (non-Inference), web UI Platform, Billing, and customer-facing IAM. These services sit on the critical path for customers and internal systems.\n This is a hands-on Staff role focused on evolving Product Foundations’ core infrastructure strategy from the inside: understanding service team needs, turning repeated infrastructure problems into reusable patterns, and coordinating across platform owners so Product Foundations services are reliable, repeatable, and built on the right company-wide foundations.\n Responsibilities \n \n Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns.\n Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness.\n Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces.\n Work closely with Infrastructure, Networking, and Security teams to bring company-wide platform standards into Product Foundations and contribute PF requirements back into shared frameworks.\n Help drive cross-company infrastructure initiatives that Product Foundations depend on or help maintain, including Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC/provider networking.\n Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation.\n Establish durable technical standards through design docs, architecture reviews, mentorship, and hands-on implementation that help Together scale services across teams, regions, and cloud environments.\n \n Requirements \n \n 7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles.\n Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery.\n Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows.\n Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management.\n Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar.\n AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure.\n Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response.\n Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams.\n Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards.\n Staff-level judgment: you can define ambiguous problems, make pragmatic tradeoffs, influence without authority, and leave both systems and teams better than you found them.\n \n Nice to Have \n \n Experience building internal developer platforms or paved-path service frameworks used by many engineering teams.\n Experience embedding infrastructure best practices into product engineering teams at scale.\n Experience with service mesh or zero-trust infrastructure such as mTLS, SPIFFE/SPIRE, Cilium, Istio, Linkerd, Envoy, or similar.\n Experience with OPA, Gatekeeper, Kyverno, Sentinel, or other policy-as-code systems.\n Experience with multi-region, multi-cluster, hybrid-cloud, or cross-provider service networking.\n Experience with supply-chain security, image signing, SBOMs, vulnerability management, or compliance automation.\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the nex","salary_min":240000,"salary_max":280000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","distributed-systems","platform","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5180690007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:06:31Z","expires_at":"2026-08-14T14:02:21.334902Z","created_at":"2026-07-12T14:01:51.382499Z","updated_at":"2026-07-15T14:02:21.458268Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24"},{"id":"da65e8fc-123b-47b4-a19f-f1b5fde0fc84","company_id":"77beb456-fc80-40a4-b773-f0b17d1ece4c","title":"AI Infrastructure Engineer","slug":"ai-infrastructure-engineer-aabaa04d","description":"ABOUT MESHY\n\nHeadquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.\n\nOur world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.\n\nMeshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.\n\nFounder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.\n\n\n\n\n\nABOUT THE ROLE\n\n - This role sits at the intersection of platform engineering, site reliability, and applied ML systems. The function owns the reliability, scalability, and operability of Meshy's AI model serving stack, along with core engineering infrastructure. The team operates a conventional production infrastructure (CI/CD, build systems, deployment, runtime environments) and develops a model-serving platform that connects the models developed by our Research Team to product-facing backend systems. The position is systems-heavy, production-oriented, and focused on turning experimental model artifacts into robust, observable, and cost-efficient services.\n\n\n\n\n\nJOB RESPONSIBILITIES\n\n - Responsible for the design, development, and optimization of core capabilities for the AI inference platform, including key modules such as inference services, task scheduling, service orchestration, elastic scaling, and release governance.\n\n - Participate in the development of CPU/GPU resource management systems to optimize stability, resource utilization, and cost efficiency in scenarios where online inference and training tasks are run on the same cluster.\n\n - Drive the unified management and scheduling of GPU resources, and explore the practical implementation of capabilities such as MIG, MPS, time-sharing, and virtualization in real-world business operations.\n\n - Continuously optimize the throughput, latency, and availability of the inference pipeline, refining engineering quality in complex inference pipelines, multi-model collaboration, and high-concurrency scenarios.\n\n - Focus on R\u0026D efficiency, resource and cost management, online stability, and disaster recovery architecture design to drive the company’s continuous evolution in performance, reliability, and maintainability.\n\n - Explore AI-native infrastructure and automated operations to make infrastructure smarter and more user-friendly, supporting the company’s rapid expansion during its startup phase.\n\n \n\n\nQUALIFICATIONS\n\n - Bachelor’s degree or higher; majors in Computer Science, Software Engineering, Artificial Intelligence, Telecommunications, or related fields are preferred.\n\n - 1 to 3 years of experience in backend development, infrastructure, cloud-native platforms, machine learning platforms, or AI platforms.\n\n - Proficiency in at least one of Go or Python, with solid software engineering skills and a strong commitment to code quality.\n\n - Understanding of fundamental principles in Linux, operating systems, computer networks, and distributed systems; ability to independently identify and resolve complex engineering issues.\n\n - Practical development experience with Kubernetes, Docker, microservices, or distributed systems, with a basic understanding of production system stability.\n\n - Real-world project experience in areas such as model inference, task orchestration, resource scheduling, and service stability—beyond mere conceptual understanding.\n\n - Self-motivated, curious, and a fast learner; willing to take on greater ownership and broader responsibilities in a startup environment, while continuously learning and quickly adopting new technologies.\n\n\nNICE TO HAVE\n\n - Experience with GPU inference platforms, Kubernetes schedulers, Device Plugins, or related platform development.\n\n - Familiarity with frameworks such as Ray and Ray Serve, or experience in developing and optimizing model serving, distributed in","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","agents","microservices","mlops","distributed-systems","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/meshy/e82eca7a-4704-4af3-a84f-94c6fb5e1034/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T21:33:17.539Z","expires_at":"2026-08-14T14:12:17.728298Z","created_at":"2026-04-13T15:01:38.817296Z","updated_at":"2026-07-15T14:12:17.854855Z","company_name":"Meshy","company_slug":"meshy","company_logo_url":"https://www.google.com/s2/favicons?domain=meshy.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/da65e8fc-123b-47b4-a19f-f1b5fde0fc84"},{"id":"6f80d97a-d8d1-487f-935c-a688dee93d62","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Cloud Infrastructure","slug":"senior-software-engineer-cloud-infrastructure-7a92e8c8","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.\n\nRead more about the infra team's work here: https://decagon.ai/blog/what-an-air-gapped-ai-deployment-actually-requires\n\n\n\n\nABOUT THE ROLE\n\nDecagon builds agentic AI that resolves customer support conversations end to end, for companies ranging from fast-growing startups to some of the largest financial institutions in the world. Keeping that system fast, reliable, and secure (across our multi-tenant cloud and inside customers' own locked-down environments) is an infrastructure problem, and that's the problem this role owns.\n\nYou'll build the platforms and abstractions our product teams ship on, and you'll architect and operate the deployments that run our agents inside enterprise customer clouds, where security, compliance, and operational rigor matter as much as speed. The work is core infrastructure at heart: reliability, CI/CD, deployment automation, on-call. You'll be joining a team with real infrastructure and momentum already in place, but there's no established playbook for running agentic systems at this scale, so a big part of the job is figuring it out as the technology shifts and usage grows by orders of magnitude.\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Build the platform\n   \n   - Design the development and production platforms that power our products, and the abstractions over cloud infrastructure, Kubernetes, and networking that let engineers ship without becoming infrastructure experts.\n   \n   - Make sure it all scales to the next order of magnitude as usage grows.\n\n - Own enterprise deployments\n   \n   - Take end-to-end ownership of deployment architecture in customer-owned cloud environments (VPC configuration, permissioning, networking, provisioning) and the full lifecycle that follows: setup, upgrades, scaling, and incident support.\n   \n   - Build the runbooks and automation that make it repeatable.\n\n - Keep agentic workloads reliable\n   \n   - Treat monitoring, alerting, and rollback as first-class parts of anything you ship, not afterthoughts.\n   \n   - Own the reliability of the systems our AI agents depend on in production, where latency, availability, and graceful degradation directly shape the customer experience.\n\n - Partner across boundaries\n   \n   - Work directly with customers' platform, security, and DevOps teams to navigate their infrastructure and compliance constraints, and with our Product, Security, Sales, and Customer Success teams to turn customer requirements into concrete deployment plans.\n     \n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 4+ years building and operating core infrastructure, platform engineering, or infrastructure/DevOps, ideally with some customer-facing deployment experience.\n\n - Deep experience with a major cloud provider (GCP, AWS, or Azure), along with Terraform and Kubernetes at scale.\n\n - Strong grasp of cloud networking fundamentals (VPCs, IAM, DNS, load balancing) and how they surface as real deployment constraints.\n\n - A track record operating production systems reliably: monitoring, on-call, incident response, and reasoning about failure modes up front.\n\n - Comfort navigating ambiguity across a range of stakeholders, from engineers to security and compliance teams, and turning those conversations into actionable plans.\n\n - Clear technical writing and a track record of driving adoption across teams.\n\n - Comfortable in a fast-moving environment with rapid change.\n\n\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience managing deployments in customer-owned cloud environments, including security reviews, compliance requirements, and change management.\n\n - Experience building internal platforms or paved roads: service templates, self-serve environments, CI/CD pipeline design, dep","salary_min":200000,"salary_max":400000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","agents","cloud","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/decagon/4203f138-c427-49b6-8201-4437db28e1de/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T20:53:01.652Z","expires_at":"2026-08-14T14:09:19.030816Z","created_at":"2026-07-12T14:06:49.759609Z","updated_at":"2026-07-15T14:09:19.189688Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6f80d97a-d8d1-487f-935c-a688dee93d62"},{"id":"17d8babe-c5a5-4343-95c4-5fca23745817","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Cloud Infrastructure","slug":"senior-software-engineer-cloud-infrastructure-a2c7d597","description":"About Decagon\n\nDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.\n\nOur technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.\n\nWe’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.\n\nWe’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.\n\n\n\n\nABOUT THE TEAM\n\nThe Infrastructure team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.\n\nRead more about the infra team's work here: https://decagon.ai/blog/what-an-air-gapped-ai-deployment-actually-requires\n\n\n\n\nABOUT THE ROLE\n\nDecagon builds agentic AI that resolves customer support conversations end to end, for companies ranging from fast-growing startups to some of the largest financial institutions in the world. Keeping that system fast, reliable, and secure (across our multi-tenant cloud and inside customers' own locked-down environments) is an infrastructure problem, and that's the problem this role owns.\n\nYou'll build the platforms and abstractions our product teams ship on, and you'll architect and operate the deployments that run our agents inside enterprise customer clouds, where security, compliance, and operational rigor matter as much as speed. The work is core infrastructure at heart: reliability, CI/CD, deployment automation, on-call. You'll be joining a team with real infrastructure and momentum already in place, but there's no established playbook for running agentic systems at this scale, so a big part of the job is figuring it out as the technology shifts and usage grows by orders of magnitude.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build the platform\n   \n   - Design the development and production platforms that power our products, and the abstractions over cloud infrastructure, Kubernetes, and networking that let engineers ship without becoming infrastructure experts.\n   \n   - Make sure it all scales to the next order of magnitude as usage grows.\n\n - Own enterprise deployments\n   \n   - Take end-to-end ownership of deployment architecture in customer-owned cloud environments (VPC configuration, permissioning, networking, provisioning) and the full lifecycle that follows: setup, upgrades, scaling, and incident support.\n   \n   - Build the runbooks and automation that make it repeatable.\n\n - Keep agentic workloads reliable\n   \n   - Treat monitoring, alerting, and rollback as first-class parts of anything you ship, not afterthoughts.\n   \n   - Own the reliability of the systems our AI agents depend on in production, where latency, availability, and graceful degradation directly shape the customer experience.\n\n - Partner across boundaries\n   \n   - Work directly with customers' platform, security, and DevOps teams to navigate their infrastructure and compliance constraints, and with our Product, Security, Sales, and Customer Success teams to turn customer requirements into concrete deployment plans.\n     \n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 4+ years building and operating core infrastructure, platform engineering, or infrastructure/DevOps, ideally with some customer-facing deployment experience.\n\n - Deep experience with a major cloud provider (GCP, AWS, or Azure), along with Terraform and Kubernetes at scale.\n\n - Strong grasp of cloud networking fundamentals (VPCs, IAM, DNS, load balancing) and how they surface as real deployment constraints.\n\n - A track record operating production systems reliably: monitoring, on-call, incident response, and reasoning about failure modes up front.\n\n - Comfort navigating ambiguity across a range of stakeholders, from engineers to security and compliance teams, and turning those conversations into actionable plans.\n\n - Clear technical writing and a track record of driving adoption across teams.\n\n - Comfortable in a fast-moving environment with rapid change.\n\n\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience managing deployments in customer-owned cloud environments, including security reviews, compliance requirements, and change management.\n\n - Experience building internal platforms or paved roads: service templates, self-serve environments, CI/CD pipeline design, depl","salary_min":200000,"salary_max":400000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","cloud","distributed-systems","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/decagon/87d6c46a-365c-4d97-98ca-de7e29b6cf72/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T20:52:30.112Z","expires_at":"2026-08-14T14:09:18.941296Z","created_at":"2026-07-12T14:06:49.67441Z","updated_at":"2026-07-15T14:09:19.075089Z","company_name":"Decagon","company_slug":"decagon","company_logo_url":"https://www.google.com/s2/favicons?domain=decagon.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/17d8babe-c5a5-4343-95c4-5fca23745817"},{"id":"0350a954-0064-4e8b-8175-872842961d14","company_id":"a0000000-0000-0000-0000-000000000001","title":"Platform Security Engineering, Auditor","slug":"platform-security-engineering-auditor-3b75119c","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n We're seeking a vulnerability assessment candidate for platform security. You'll work cross functionally with teams across Anthropic and our partners to assess security features in hardware, firmware, bootloaders, operating systems, and attestation systems to identify and remove vulnerabilities from the ground up.\n This role requires expertise in low-level systems security and the ability to audit the most security-critical platform elements. This is not a role where you can simply file a ticket and hope that the fixes get into production and stay in production. The role requires taking ownership that everything you find is eliminated fully and correctly in production, including ensuring known vulnerabilities are never reintroduced.\n Key responsibilities \n \n Audit secure boot chains from firmware through OS initialization for diverse hardware platforms (CPUs, BMCs, switches, peripherals, and embedded microcontrollers)\n Audit attestation systems that provide cryptographic proof of system state from hardware root of trust through application layer\n Audit measured boot implementations and runtime integrity monitoring\n Integrate security controls with infrastructure teams without impacting training performance\n Validate security mechanisms before production deployment\n Conduct firmware vulnerability assessments and penetration testing\n Build firmware vulnerability assessment pipelines for continuous security monitoring\n Document security architectures and maintain threat models\n Collaborate with software and hardware vendors to ensure security capabilities meet our requirements for exploit mitigation\n \n Minimum qualifications  \n \n Proven track record of conducting hands-on vulnerability auditing on complex, security-critical systems\n Hands-on experience with secure boot, measured boot, and attestation technologies (TPM, Intel TXT, AMD SEV, ARM TrustZone)\n Strong understanding of cryptographic protocols and hardware security modules\n Experience with UEFI/BIOS or embedded firmware security, bootloader hardening, and chain of trust implementation\n Proficiency in low-level programming languages (C, Assembly) and systems programming\n Knowledge of firmware vulnerability assessment and threat modeling\n Ability to work effectively across hardware and software boundaries\n Strong communication and cross functional collaboration skills\n Track record of assessing security architectures for complex, distributed systems\n \n Preferred qualifications \n \n 8+ years of experience in systems security, with at least 5 years focused on low-level security (firmware, bootloaders, and OS kernel-level security)\n Capacity to audit for logic bugs in code written in Rust or Go\n Ability to find vulnerabilities via reverse engineering in software that is provided only in binary form\n Experience performing fault injection \u0026 side-channel analysis attacks on hardware\n Experience auditing silicon root of trust implementations\n Experience auditing confidential computing technologies and hardware-based TEEs\n Background in formal verification or security proof techniques\n 5 or more talks at top-tier security conferences with candidate listed as first author\n Experience using LLMs to automate security assessment (including tooling creation)\n Experience securing large-scale HPC or cloud infrastructure\n Previous work with AI/ML infrastructure security\n \n  \n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will ","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","distributed-systems","security","llm","alignment"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5316565008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T20:04:07Z","expires_at":"2026-08-14T14:00:24.876792Z","created_at":"2026-07-12T14:00:22.963819Z","updated_at":"2026-07-15T14:00:25.186516Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0350a954-0064-4e8b-8175-872842961d14"},{"id":"52c0d743-42dc-4708-98d3-2eda7148a5c5","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Software Engineer","slug":"software-engineer-b563a434","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 About the Role\n Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.\n What You Will Do\n \n Develop a software-based platform that can scale indefinitely, including scalable enterprise search solutions.\n Build large-scale fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.\n Perform thorough code review for peers, including interface design, code quality, and testing strategies.\n Understand customer requirements and implement them in solutions.\n Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively with high quality.\n Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data.\n Design and implement user interfaces used by enterprise workers to search enterprise content.\n Design APIs to build other search-based applications.\n \n Who You Are\n \n You have a Master’s degree, or foreign degree equivalent, in Computer Science, Engineering (any field), or a related quantitative discipline, plus three (3) months of experience in the job offered or in any occupation in a related field.\n You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.\n You have experience with Go or C++.\n You have experience with Java.\n You have experience with Python.\n You have experience with TypeScript.\n You have algorithmic design skills.\n You have experience with data analytics.\n You have experience with Node.\n You have experience with Ruby on Rails, Django, or Flask.\n You have experience with React.\n Any suitable combination of education, training, and/or experience is acceptable.\n \n  \n Location: Mountain View, CA. Telecommuting is an option.\n Compensation \u0026 Benefits\n The standard base salary range for this position is $187,741 - $234,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.\n  \n We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k ","salary_min":187741,"salary_max":234000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","search","api-design","llm","agents","distributed-systems","cloud"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4713145005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T18:21:38Z","expires_at":"2026-08-14T14:05:03.601599Z","created_at":"2026-07-12T14:03:17.754756Z","updated_at":"2026-07-15T14:05:03.733855Z","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/52c0d743-42dc-4708-98d3-2eda7148a5c5"},{"id":"08e650fb-0032-430e-b5d5-a6c3007cb351","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Software Engineer","slug":"software-engineer-4d15fbe9","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 About the Role\n Glean Technologies, Inc. has multiple positions available for a Software Engineer. As a Software Engineer, you will help build a software-based platform that can scale indefinitely, including scalable enterprise search solutions. You will work across distributed systems, data pipelines, APIs, and user interfaces to deliver secure, high-quality products that meet customer needs.\n What You Will Do\n \n Develop a software-based platform that can scale indefinitely, including scalable enterprise search solutions.\n Build large-scale fault-tolerant distributed systems, preferably with knowledge of performance benchmarking tools and performance tuning on Linux-based systems.\n Perform thorough code review for peers, including interface design, code quality, and testing strategies.\n Understand customer requirements and implement them in solutions.\n Work closely with the company’s product teams to understand customer requirements and ensure features satisfy those requirements and are delivered effectively with high quality.\n Implement data ingestion pipelines to retrieve data from enterprise data sources and build a secure search index over that data.\n Design and implement user interfaces used by enterprise workers to search enterprise content.\n Design APIs to build other search-based applications.\n \n Who You Are\n \n You have a Bachelor's degree, or foreign degree equivalent, in Computer Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field.\n You have experience working on infrastructure for distributed systems or cloud-native applications, or experience building full-stack applications that span front-end, REST APIs, and application server, or experience training and productionizing machine learning, or information retrieval systems.\n You have experience with Go or C++.\n You have experience with Java.\n You have experience with Python.\n You have experience with TypeScript.\n You have algorithmic design skills.\n You have experience with data analytics.\n You have experience with Node.\n You have experience with Ruby on Rails, Django, or Flask.\n You have experience with React.\n Any suitable combination of education, training, and/or experience is acceptable.\n \n  \n Location: Mountain View, CA. Telecommuting is an option.\n Compensation \u0026 Benefits\n The standard base salary range for this position is $215,000 - $278,900 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.\n  \n We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan","salary_min":215000,"salary_max":278900,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","api-design","data-pipeline","cloud","agents","search","llm"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4713977005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T18:21:37Z","expires_at":"2026-08-14T14:05:03.524725Z","created_at":"2026-07-12T14:03:17.835612Z","updated_at":"2026-07-15T14:05:03.648481Z","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/08e650fb-0032-430e-b5d5-a6c3007cb351"},{"id":"c8d7c8f4-7a62-4899-9006-8cc4861dc62e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-f921e023","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. 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Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. The goal is to shorten military planning cycles from days to minutes by putting physics-backed simulation and AI-assisted planning directly in the hands of operators. \n WHAT YOU’LL DO \n \n Build agentic workflows that make modeling and simulation capabilities accessible through natural language, structured tools, APIs, and operator-facing product experiences.\n Design multi-agent architectures that model human decision-making, adversary responses, operational constraints, and plan tradeoffs across complex military operations.\n Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems.\n Build backend services and interfaces for scenario creation, entity tasking, simulation state retrieval, course-of-action generation, plan comparison, and real-time analysis.\n Partner with warfighters, model/sim experts, autonomy engineers, game/simulation engineers, and mission software teams to translate ambiguous planning workflows into reliable software.\n Improve observability, reproducibility, and evaluation for agent behavior so generated scenarios and recommendations are inspectable, explainable, and operationally useful.\n Learn and apply relevant DoD modeling and simulation tools and concepts, including campaign-level simulation, mission-level simulation, wargaming workflows, and systems such as AFSIM and STORM.\n \n REQUIRED QUALIFICATIONS\n \n Strong production software engineering experience building backend services, APIs, platforms, or integrations around complex stateful systems.\n Hands-on experience building AI/ML or LLM-powered software, ideally including tool/function calling, RAG, structured outputs, agent orchestration, MCP-style interfaces, or model evaluation.\n Proficiency in Python, Go, or a similar backend language, with the ability to work across service boundaries and integrate with external systems.\n A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.\n Ability to work directly with operators, warfighters, and technical SMEs to turn ambiguous operational planning needs into concrete product and engineering requirements.\n Strong judgment around reliability, safety, observability, and debugging for AI systems deployed in high-stakes environments.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with modeling and simulation, physics engines, wargaming tools, autonomy simulation, operations research, planning systems, or human/adversary behavior modeling.\n Experience with DoD modeling and simulation tools or concepts such as AFSIM, STORM, campaign-level simulation, mission-level simulation, or course-of-action analysis.\n Experience shipping production agentic systems, not only prototypes.\n Familiarity with gRPC/protobuf, Kubernetes, containerized deployments, distributed systems, observability, and secure or air-gapped environments.\n Experience in defense, aerospace, autonomy, robotics, gaming/simulation, command-and-control, or operational planning domains.\n US Salary Range\n $191,000 — $292,000 USD \n The salary range for th","salary_min":191000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","cloud","llm","distributed-systems","agents","computer-vision","api-design","generative-ai"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184726007?gh_jid=5184726007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T17:35:34Z","expires_at":"2026-08-14T14:09:00.887844Z","created_at":"2026-07-12T14:06:33.966919Z","updated_at":"2026-07-15T14:09:01.016704Z","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/c8d7c8f4-7a62-4899-9006-8cc4861dc62e"},{"id":"ca995c89-5a09-434d-9bc7-3e90643b646b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-ab786ea5","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. 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Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. 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