{"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":"9313b027-a169-43a5-b77c-bcd6097769df","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Senior Software Engineer, Foundation Model API","slug":"senior-software-engineer-foundation-model-api-c724567b","description":"P-1428 \n At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.\n As part of the AI team, you'll build the platforms and products that power everything from data apps, AI agents, model training, model serving, and Vector Search. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We're building the products and infrastructure that power the next generation of AI.\n We're hiring across multiple teams in our AI Engineering org, including the FMAPI (Foundation Model APIs) team — the unified serving layer for large language models across real-time and batch inference, powering model inference at enterprise scale. We are looking to hire high-agency L6 Engineers who bridge the gap between technical execution and product strategy.\n The impact you will have: \n \n Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama)\n Shape the direction of the FMAPI product — from roadmap to execution — by leveraging deep customer empathy and direct engagement with enterprise users and model providers\n Improve reliability, latency, and efficiency of distributed AI workloads\n Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences\n Shape how developers and data scientists build and interact with AI on Databricks\n \n What we look for: \n \n 8+ years of experience in backend or infrastructure engineering\n Experience with distributed systems, scalable APIs, or cloud-native infrastructure\n Strong product and ownership mindset, with a focus on shipping user-facing value\n Experience with real-time serving, ML infrastructure, or GPU orchestration\n Familiarity with service-oriented architecture, deployment pipelines, and system observability\n Strong programming skills in Scala, Go, or Python\n \n Bonus points for: \n \n Exposure to platforms like SageMaker, Vertex AI, or Azure ML\n Built products that support AI workflows\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Local Pay Range\n $160,000 — $225,000 USD \n About Databricks \n Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, soc","salary_min":160000,"salary_max":225000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","llm","generative-ai","agents","cloud","mlops","data-pipeline"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635900002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T21:49:06Z","expires_at":"2026-08-15T14:02:30.870498Z","created_at":"2026-07-16T14:02:30.99446Z","updated_at":"2026-07-16T14:02:30.99446Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9313b027-a169-43a5-b77c-bcd6097769df"},{"id":"861ab613-6bf6-4459-9cf0-7a2c2d0cb817","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Manager, Attack Engineering","slug":"senior-manager-attack-engineering-47d2d43f","description":"Get to Know Us\n\nHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. \n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\n \n\n\nSUMMARY\n\nWe’re seeking an experienced Engineering Manager to lead our External Attack Engineering organization. In this role, you’ll oversee a team responsible for designing, validating, and scaling offensive capabilities within the NodeZero platform targeting the modern external attack surface, including public-facing infrastructure, SaaS platforms, and externally-facing enterprise commercial software.\n\nYou’ll operate at the intersection of offensive security, engineering, and product, driving both hands-on technical direction and strategic execution. This leader will ensure our external attack capabilities reflect real-world attacker tradecraft while remaining production-safe, high-signal, and impactful for customers.\n\nIdeal candidates bring a strong mix of technical depth, leadership experience, and product mindset, and are excited to build and scale a team shaping the future of autonomous offensive security.\n\n\n\n\nESSENTIAL FUNCTIONS\n\n\nLEADERSHIP \u0026 TEAM DEVELOPMENT\n\n - Lead and grow a team of Attack and Full-Stack Engineers specializing in the External Attack Surface, including Commercial and SaaS platform.\n\n - Set technical direction, priorities, and quality standards for external offensive capabilities.\n\n - Mentor engineers and raise the bar for offensive rigor, delivery quality, and customer-facing clarity.\n\n - Drive hiring and organizational scaling as the External Attack team expands.\n\n\nEXTERNAL ATTACK STRATEGY \u0026 EXECUTION (HACK, FIX, VERIFY, REPEAT)\n\n - Own offensive strategy across:\n   \n   - External and Public-facing platforms and infrastructure\n   \n   - Enterprise SaaS and externally-facing enterprise commercial software\n   \n   - Identity, SaaS providers, and enterprise platform layers\n\n - Guide development of end-to-end attack methodologies (Discovery → verification):\n   \n   - Drive continuous, at-scale discovery of public-facing external assets.\n   \n   - Evaluate identity-centric threats by leveraging dark web and open-source intelligence to simulate credential compromise and phishing consequences.\n   \n   - Implement stealth-oriented authentication and password testing methodologies reflecting modern attacker tradecraft.\n   \n   - Simulate access abuse and data exfiltration across critical SaaS-based knowledge and information management ecosystems.\n\n - Ensure NodeZero capabilities are realistic, production-safe, and aligned with modern attacker tradecraft.\n\n\nPRODUCT \u0026 CROSS-FUNCTIONAL PARTNERSHIP\n\n - Partner with Product and Design to translate field insights into prioritized roadmap input and productized capabilities.\n\n - Create tight feedback loops between real-world attack findings and platform evolution.\n\n - Help define next-generation attack surfaces across cloud and AI systems.\n\n - Own the UI/UX and product design for the external attack surface and perimeter breach scenarios, including simplifying the configuration of attack operations and developing visualizations that translate complex attack paths into clear, actionable storytelling regarding customer risk, exploitability, and findings.\n\n\nCUSTOMER \u0026 EXTERNAL IMPACT\n\n - Oversee high-impact customer engagements and technical briefings.\n\n - Ensure clear articulation of exploitability, business impact, and remediation.\n\n - Contribute to external content such as blogs, demos, and thought leadership where appropriate.\n\n\n\n\nCOMPETENCIES / REQUIREMENTS\n\n\nLEADERSHIP\n\n - 5+ years leading offensive security, red team, or attack engineering teams.\n\n - Experience managing teams of 6–10+ engineers and scaling organizations.\n\n - Proven ability to balance hands-on technical depth with strategic leadership.\n\n\nEXTERNAL ATTACK SURFACE EXPERTISE\n\n - Strong expertise in one or more:\n   \n   - External/Public-facing infrastructure attack surfaces\n   \n   - Enterprise S","salary_min":235000,"salary_max":280000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["security","cloud","llm","alignment"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/3c5ecbdb-f803-41ae-be4d-f15af00877d3/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T20:19:49.081Z","expires_at":"2026-08-15T14:07:03.082466Z","created_at":"2026-07-16T14:07:03.230103Z","updated_at":"2026-07-16T14:07:03.230103Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/861ab613-6bf6-4459-9cf0-7a2c2d0cb817"},{"id":"a9a323aa-3837-447e-9113-5ce18e0a75e1","company_id":"92df3417-f362-4f1a-9406-e34d8013b283","title":"Senior Machine Learning Engineer, Applied AI Quality","slug":"senior-machine-learning-engineer-applied-ai-quality-2d344917","description":"Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.\n The Role \n At Block, we believe product quality is foundational to great user experiences, and AI is transforming how we measure, understand, and improve that quality at scale. Our team builds the intelligence layer that evaluates system behavior across millions of real-world interactions, helping ensure our products are reliable, safe, and continuously improving.\n We’re looking for a Senior Machine Learning Engineer to lead the technical direction of next-generation quality systems powered by LLMs and AI agents. You’ll drive the architecture and strategy behind systems that evaluate product behavior, surface emerging issues, generate actionable insights, and enable teams across Block to make higher-confidence product decisions.\n In this role, you’ll operate across ambiguous, high-impact problem spaces and shape how quality is measured and operationalized across the organization. You’ll work across engineering, product, platform, and leadership teams to define long-term technical direction, establish scalable evaluation frameworks, and build systems that become foundational infrastructure for AI-driven product quality.\n You Will \n \n Lead the technical strategy and architecture for AI-driven quality and evaluation systems used across products and teams.\n Drive the development of scalable systems that use LLMs, agents, and behavioral signals to evaluate quality, detect regressions, and generate product insights.\n Define long-term approaches for evaluation, measurement, and quality intelligence across complex product surfaces.\n Translate ambiguous organizational needs into clear technical direction, roadmap priorities, and platform capabilities.\n Influence engineering standards and best practices for building reliable, measurable, and trustworthy AI systems.\n Lead complex cross-functional initiatives spanning product, infrastructure, data, and applied AI teams.\n Mentor and level up engineers across the organization through technical leadership, design reviews, and systems thinking.\n Identify leverage opportunities where AI systems can fundamentally improve how teams understand, debug, and improve product behavior.\n \n You Have \n \n 5+ years of experience in software engineering, machine learning engineering or applied AI.\n Deep experience designing and shipping large-scale AI/ML systems in production environments.\n Strong expertise with LLMs, agents, evaluation systems, retrieval architectures, and modern AI infrastructure.\n Proven ability to lead ambiguous, high-impact technical initiatives from concept through adoption across multiple teams.\n Strong systems thinking and architectural judgment, with the ability to balance experimentation, scalability, and operational rigor.\n Experience defining technical strategy and influencing roadmaps beyond your immediate team.\n Excellent communication and cross-functional leadership skills, with the ability to align engineering, product, and organizational priorities.\n A track record of creating leverage through platforms, frameworks, and systems that enable other engineers and teams to move faster and make better decisions.\n \n We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .\n While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.\n  \n Block takes a market-based approach to p","salary_min":194500,"salary_max":291700,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","agents","llm","machine-learning"],"apply_url":"http://block.xyz/careers/jobs/5243440008?gh_jid=5243440008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T17:13:58Z","expires_at":"2026-08-15T14:10:10.409887Z","created_at":"2026-07-16T14:10:10.562945Z","updated_at":"2026-07-16T14:10:10.562945Z","company_name":"Block","company_slug":"block","company_logo_url":"https://www.google.com/s2/favicons?domain=block.xyz\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a9a323aa-3837-447e-9113-5ce18e0a75e1"},{"id":"d5817836-ec6a-4a44-8482-6cb7a1c60532","company_id":"ab3e4567-6f87-4ccf-9ec0-81fd82105f48","title":"Senior Data Scientist, Detection","slug":"senior-data-scientist-detection-6c1be6df","description":"About Us \n \n At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. \n At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a \"normalized\" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.\n Available Locations- New York\n About the Role \n Cloudflare’s Engineering Team is home to some of the industry’s top engineers, dedicated to building and scaling innovative software that handles a huge proportion of the Internet. Our Detection department sits at the heart of that mission: we identify automated, fraudulent, and malicious activity across the Internet and through our gateway. We develop advanced detection systems and machine learning models that operate at scale, collaborating with Product and Engineering teams across the company to protect our customers and stay ahead of the constantly evolving threat landscape.\n Responsibilities \n \n Research, design, and evaluate detection models that identify automated, fraudulent, and malicious activity across Internet-scale data.\n Dig into massive datasets to uncover the patterns and behaviors that distinguish adversaries from legitimate users.\n Define how detection success is measured, designing metrics and evaluation strategies for problems where ground truth is noisy, delayed, or contested.\n Stay current on emerging AI/ML research and evaluate how new techniques (e.g., LLMs, generative AI) can be applied to our products.\n Partner with ML Engineers, Data Engineers, and Product to take detection approaches from research to production and measure their real-world impact.\n \n Desirable Skills, Knowledge, and Experience  \n \n Fraud and bots at scale. You have experience across fraud, abuse, and/or bot detection on large, high-velocity traffic. You may focus on one, but you transfer instincts between them.\n Strong fundamentals, fluent in data. You have solid applied statistics, machine learning, and AI methodology fundamentals. You choose the right technique for the problem, and are fluent with large-scale data.\n You have at least 5-7 years of experience professionally working in Data Science, ML Engineering, or Software Engineering. \n You are very comfortable with Python \u0026 SQL in production environments.\n \n Bonus points \n \n At home in ground truth ambiguity. Building detections when ground truth is scarce is the heart of this job. You make real progress with weak, delayed, or absent labels and you're energized by adversaries that fight back.\n You don't burn signals. You understand (or are curious to learn) how to act on detections without tipping your hand, knowing that how you deploy and respond can erode your future visibility.\n Pragmatic about complexity. You know when a simple solution beats a complex one, and you don't chase small gains at disproportionate cost.\n Disciplined in code. You apply strong programming and engineering best practices in both research and production code.\n Impact-driven and clear. You connect your work to business impact and communicate clearly across technical and non-technical stakeholders.\n \n Compensation \n Compensation may be adjusted depending on work location.\n \n  For New York City based hires: Estimated annual salary of $185,000 - $231,000.\n \n Equity \n This role is eligible to participate in Cloudflare’s equity plan.\n Benefits \n Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employ","salary_min":185000,"salary_max":231000,"location":"Hybrid","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","llm","cloud","data-science"],"apply_url":"https://boards.greenhouse.io/cloudflare/jobs/8042547?gh_jid=8042547","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T00:45:56Z","expires_at":"2026-08-15T14:09:57.996669Z","created_at":"2026-07-15T14:11:16.38206Z","updated_at":"2026-07-16T14:09:58.110127Z","company_name":"Cloudflare","company_slug":"cloudflare","company_logo_url":"https://www.google.com/s2/favicons?domain=cloudflare.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d5817836-ec6a-4a44-8482-6cb7a1c60532"},{"id":"1a206bd4-e5b5-4a4d-8384-65e3e9c3f4ec","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"SDR, Tavily","slug":"sdr-tavily-497ebf81","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n \n About Tavily \n We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed.\n We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world \n The role \n We’re hiring to expand on the immediate success and impact our founding SDR team has had. You will be the engine behind the engine, helping convert high-volume developer inbound into qualified opportunities and building an outbound motion to the teams creating cutting edge agents and AI products.\n Your responsibilities will include:   \n \n Promptly follow up with inbound and outbound prospects via email, LinkedIn, and calls to ensure no lead slips through the cracks.\n Build a deep understanding of Tavily’s ICP: AI engineers, data science teams, and product leaders building agentic systems to identify where they need grounded, real-time search in their product\n Qualify opportunities and book meetings for the Sales team, ensuring they are equiped with the correct information to win the deal.\n Provide structured feedback on signals, workflows, and outputs to help us improve Tavily based on real-life testing.\n \n We expect you to have:   \n \n 1–2 years of Sales, SDR, Analytics or Computer Science experience in a SaaS or tech environment preferred (open to exceptional entry-level candidates).\n You are in Austin and excited about an in-person office environment (think 4 days per week).\n You're resilient, energized by building relationships, and genuinely excited to learn.\n You’re genuinely curious about AI and enjoy learning what new products and teams are building, even if you’re not technical yourself.\n Ability to balance high-volume outreach with thoughtful experimentation and feedback.\n \n Key employee benefits in the US: \n \n Health insurance:  100% company-paid medical, dental, and vision coverage for employees and families.\n 401(k) plan:  Up to 4% company match with immediate vesting.\n Parental leave:  20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.\n Remote work reimbursement:  Up to $85/month for mobile and internet.\n Disability \u0026 life insurance : Company-paid short-term, long-term and life insurance coverage.\n \n \n Pay Transparency \n We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.\n Base Compensation Range\n $71,700 — $89,600 USD \n Benefits \u0026 Perks: \n \n Competitive compensation\n Career growth and learning opportunities\n Flexibility and ownership\n Collaborative and innovative culture\n Opportunity to work on impactful AI projects\n International environment and talented teams\n \n What's it like to work at Nebius: \n Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI \n Equal Opportunity Statement: \n Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.\n Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. \n If you need accommodations during the application process, please let us know.","salary_min":71700,"salary_max":89600,"location":"Austin, TX","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["code-generation","agents","cloud","llm","rag","search"],"apply_url":"https://careers.nebius.com/?gh_jid=4927819101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T20:05:03Z","expires_at":"2026-08-15T14:15:47.944545Z","created_at":"2026-07-15T14:17:14.584259Z","updated_at":"2026-07-16T14:15:48.089969Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a206bd4-e5b5-4a4d-8384-65e3e9c3f4ec"},{"id":"02fdc710-8e20-40fd-aedd-05f740fa50ac","company_id":"377b9ca2-ac79-48a5-8657-da630f9e447d","title":"Senior Staff / Principal Machine Learning Scientist, AI Inference \u0026 Optimization","slug":"senior-staff-principal-machine-learning-scientist-ai-inference-optimization-8c8ecaa7","description":"About Netskope \n Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. \n \n Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.     Visit us at  Netskope Careers. Please follow us on LinkedIn and Twitter @Netskope . \n Positions are available at Senior Staff and above. Candidates are assessed individually and leveled according to their specific skills and background. \n About the role\n As a Senior Staff Machine Learning Scientist, you own the inference and optimization layer that makes AI in agentic workflows fast, efficient, and production-grade. You fine-tune and evaluate models, push latency and throughput on real hardware, and build the runtime that executes bounded AI tasks, validated against usage from Netskope’s large customer base so you optimize where the data points, not where you guess.\n What’s in it for you\n \n High-impact ownership. You own the model layer of a net-new product that changes the performance and economics of agentic AI.\n Cutting-edge, unusual stack. The hard, interesting inference problems live here: quantization, KV-cache and memory management, sparsity, fine-tuning, and hardware acceleration under real-world resource constraints.\n Real scale to build against. Netskope’s customer footprint gives you production signals most teams never see, so you deploy, validate, and iterate fast.\n \n What you will be doing\n \n Build and optimize the model inference path : quantization, KV-cache optimization, batching, and latency/memory/throughput tuning on constrained, commodity hardware.\n Fine-tune and evaluate models for bounded tasks; build eval harnesses that gate a capability to release on real accuracy, latency, and security relevance.\n Design and grow the task execution runtime (bounded sub-agents), pushing toward dynamic task generation and context compaction.\n Drive hardware acceleration / sparsity and support for larger models as the platform matures.\n Partner with the systems and backend engineers to ship capabilities end-to-end and iterate on real production signals.\n \n Required skills and experience\n \n 10+ years of overall industry experience , with 4+ years hands-on in ML/AI (model development, fine-tuning, and inference optimization).\n Hands-on with fine-tuning (e.g. LoRA/QLoRA), quantization (GGUF/AWQ/GPTQ), and inference runtimes (vLLM/SGLang, TensorRT-LLM, ONNX Runtime, llama.cpp, or MLX/CoreML). On-device or edge inference experience is a strong plus.\n Strong Python; comfort reaching into C++ for low-level interop is a plus.\n Solid grasp of transformer internals and the levers that move real inference performance and cost: KV cache, attention, batching, memory footprint.\n Fluency with agentic coding systems and genuine curiosity about agent harnesses like Claude Code, Pi, and Codex , so you should already be building with them, or itching to.\n Clear communication: able to distill a model or infra bottleneck into an actionable concept for cross-functional teammates.\n \n Education\n \n MS in Computer Science, Machine Learning, Electrical Engineering, or equivalent technical degree required, with a focus in AI/ML research; PhD in a related field strongly preferred.\n Compensation:  \n At Netskope, salary is one component of our competitive total rewards package. The salary range for this position is as listed below. This is a national range. For purposes of complying with applicable laws, the range applies to candidates in California, Colorado, Illinois, Maryland, New York, Washington, and other states. \n The successful candidate’s starting pay will also be determined based on job-related skills, experience, qualifications, location, and market conditions.  \n For all sales roles, the posted salary range is the On Target Earnings (OTE) range for the role, which is the sum of base salary and target commission amount at 100% goal achievement. \n In addition to salary, candidates may be eligible for other forms of compensation such as participation in a bonus plan (for non-sales roles) and a stock award program. Candidates may also be eligible for a comprehensive health plan and other benefits that can be reviewed at  Netskope Benefits site .","salary_min":182500,"salary_max":260500,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["llm","cloud","agents","fine-tuning","machine-learning","inference"],"apply_url":"https://www.netskope.com/company/careers/open-positions/?gh_jid=8063869","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T04:20:32Z","expires_at":"2026-08-15T14:10:20.211022Z","created_at":"2026-07-15T14:11:39.076302Z","updated_at":"2026-07-16T14:10:20.351571Z","company_name":"Netskope","company_slug":"netskope","company_logo_url":"https://www.google.com/s2/favicons?domain=netskope.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/02fdc710-8e20-40fd-aedd-05f740fa50ac"},{"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":["llm","agents","distributed-systems","cloud","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":"2026-08-15T14:02:47.599308Z","created_at":"2026-07-15T14:02:50.87055Z","updated_at":"2026-07-16T14:02:47.717976Z","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 Production 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 AWS, Azure, or Googl","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","agents","cloud"],"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":"2026-08-15T14:02:47.702741Z","created_at":"2026-07-15T14:02:48.123991Z","updated_at":"2026-07-16T14:02:47.814839Z","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":"5e3167da-1058-431f-8718-8bb9f1e4656f","company_id":"3d233526-89a8-48ea-b0ed-3304a35b8acf","title":"Software Engineer II, ML Ops","slug":"software-engineer-ii-ml-ops-461a0523","description":"At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.\nWe are looking for a talented and passionate Software Engineer II to join our MLOps team, focusing on the development and optimization of ML cloud infrastructure. In this role, you will play a critical part in supporting our Data Science and AI teams by building robust, scalable systems for the productionalization of machine learning models. Your work will be at the heart of bringing advanced ML/AI solutions into production, ensuring they are reliable, scalable, and ready to drive value across WHOOP.\n","salary_min":125000,"salary_max":175000,"location":"Boston, MA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["cloud","mlops","machine-learning","research"],"apply_url":"https://jobs.lever.co/whoop/82635467-6cfb-4e8b-967e-73355a0d0b8f/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T16:24:21.247Z","expires_at":"2026-08-15T14:17:41.659491Z","created_at":"2026-07-15T14:19:08.388557Z","updated_at":"2026-07-16T14:17:41.774926Z","company_name":"WHOOP","company_slug":"whoop","company_logo_url":"https://www.google.com/s2/favicons?domain=whoop.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5e3167da-1058-431f-8718-8bb9f1e4656f"},{"id":"268b8fee-dcaf-4f11-af4e-7d001dba4b5b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Division Operations Associate - Maneuver Dominance","slug":"division-operations-associate-maneuver-dominance-7e8e1620","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Maneuver Dominance Division, one of Anduril’s fastest growing divisions, has assembled a diverse team of experts, including aerospace, mechanical, and electrical engineers, alongside software, robotics, artificial intelligence, sensor fusion, and data analysis specialists. Together, we create cutting-edge vehicle-centric hardware and software solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous vehicle systems to tackle the extremely challenging industry demands. Our focus is on delivering advanced tactical unmanned vehicle systems, battlefield intelligence, and flexible ground and air autonomy solutions. We are actively developing and iterating on a portfolio of next-generation vehicle platforms, including Omen, a Group 3 tail-sitter VTOL drone designed for advanced persistent intelligence, surveillance, \u0026 reconnaissance. Through this and other programs, Anduril is executing on substantial contracts to bring these capabilities to our customers. As a rapidly growing division, Maneuver Dominance is not just delivering products; we are building the fundamental enabling technologies that empower our systems with exquisite perception, sophisticated behaviors, and unparalleled capabilities. This deep investment fuels an expanded product portfolio where systems, including Omen and other platforms will form a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the land, air, and tactical domains. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maneuver Dominance Division and help us build the future of defense capability.\n ABOUT THE JOB\n We are looking for a Division Operations Associate to join our rapidly growing Maneuver Dominance Division Operations team in Costa Mesa, CA . In this position, you will be responsible for supporting our internal business lines as well as the entire division. The Maneuver Dominance Division Operations team is a small but mighty team of talented business generalists who enable the division to scale through hyper-growth while breaking as few things as possible. We’re looking for someone to help us build out the business infrastructure required to grow this into Anduril’s largest division over the next few years. Our goal is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation of autonomous systems. \n WHAT YOU’LL DO\n \n Lead various strategic initiatives and special projects, as directed by General Managers and Division Operations Leads, to establish scalable operations across the portfolio, ranging from strategic and international finance, production and supply chain, facilities and real estate, security, etc\n \n Act as the connective tissue between efforts related to the design, development, and implementation of new processes, strategy, and execution plans\n \n Coordinate and prepare for executive leadership meetings, including setting agendas, tracking action items, and ensuring follow-through\n Support internal team operations: new employee onboarding, all hands, internal business reviews, and other division-wide events so that we rapidly ramp new employees and maintain a culture of “doing things differently”\n Support our corporate planning cycle by helping to build out and monitor performance against goals, financial plans, and headcount plans so we can hit our aggressive growth targets\n Establish the operating model and battle rhythm for a rapidly growing team with an emphasis on cross-division coordination and repeatable execution patterns\n \n REQUIRED QUALIFICATIONS\n \n You have 3+ years of experience in consulting, operations, finance, or general business analysis\n You love solving complex, ambiguous, cross-functional problems in a people-centric way\n You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility\n You get energy from being a thought partner for others and it excites you to spend time translating operational problems into data problems, and to then going and ex","salary_min":112000,"salary_max":149000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","computer-vision","cloud","autonomous-vehicles","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5185048007?gh_jid=5185048007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T15:53:55Z","expires_at":"2026-08-15T14:07:36.921925Z","created_at":"2026-07-15T14:08:48.518891Z","updated_at":"2026-07-16T14:07:37.056888Z","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/268b8fee-dcaf-4f11-af4e-7d001dba4b5b"},{"id":"072121d0-4400-4ea7-aba5-a62ac7232f44","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Senior Integration Test Engineer","slug":"senior-integration-test-engineer-18eb978c","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n Senior Integration Test Engineers serve as key stakeholders in the R\u0026D process. This role bridges simulation and on-road testing by validating vehicle system behavior in a controlled lab environment. Senior Integration Test Engineers will focus on both static vehicle-level and HIL testing, replaying real-world drive logs, and documenting system responses. This role is unique in which you will lead testing on HIL bench test setups in addition to static vehicle-level simulated driving.  \n As a Senior HIL Test Engineer, you will work closely with software, hardware, and systems engineers to architect the HIL infrastructure, pioneer new automation processes, and mentor the team in validating safety-critical systems in a fast-paced R\u0026D environment. \n Essential Responsibilities \n \n Lead the development and execution of comprehensive HIL test plans, focusing on the integration of autonomous software with autonomous system hardware \n Perform bench-level testing of sensors and compute modules \n Execute static vehicle-level HIL testing by simulating real-world driving scenarios in a controlled environment \n Execute structured test plans covering functional, regression, and fault-injection scenarios \n Measure and analyze software performance (latency, CPU/memory utilization, throughput) on target hardware to ensure the autonomy stack meets necessary requirements \n Design and implement automated test suites. Integrate HIL test results and automation workflows with cloud computing services (AWS) for scalable data analysis and regression tracking \n Monitor and debug vehicle communications \n Partner with Autonomy and Systems Engineering teams to define validation requirements and translate complex edge cases into repeatable HIL test cases. \n Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics \n \n Skills and Abilities \n \n Proven ability to construct and maintain HIL test environments \n Static vehicle-level or chassis dynamometer test experience \n Deep understanding of CAN networks and vehicle communication protocols \n Proficiency with Ethernet protocols (UDP and TCP)  \n Experience with CAN bus analysis tools (e.g., Intrepid Vehicle Spy, Vector CANoe/CANalyzer) \n Strong command of Linux environments for system configuration, log manipulation, and troubleshooting \n Expertise in Test Case Automation and scripting to reduce manual testing overhead \n Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves \n Strong ability to translate low-level hardware bugs into actionable insights for high-level software teams \n Experience integrating test automation with cloud computing services (AWS) \n \n Qualifications and Experience \n Required \n \n Bachelor's degree in an applicable engineering field \n 5+ years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context \n Direct experience with Hardware-in-the-Loop testing and system-level validation \n Valid driver’s license and clear driving record \n \n Desirable \n \n Master’s degree in an applicable engineering field \n Experience testing ADAS vehicles or autonomous robotic systems \n Cloud Operations: Experience using AWS for data storage, compute, or CI/CD integration \n Coding: Proficiency in Python or C++ for creating test scripts and data analysis tools \n \n Physical Requirements \n \n Standard office working conditions which includes but is not limited to: \n \n Prolonged sitting \n Prolonged standing \n Prolonged computer use \n \n Travel required? -  Low: 0%-10% \n \n \n \n \n \n \n \n \n Benefits and Perks \n \n Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. \n Health Savings and Flexible Spending Healthcare and Dependent Care Account","salary_min":100000,"salary_max":125000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631044002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:56:05Z","expires_at":"2026-08-15T14:18:35.650791Z","created_at":"2026-07-15T14:20:06.277699Z","updated_at":"2026-07-16T14:18:35.768769Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/072121d0-4400-4ea7-aba5-a62ac7232f44"},{"id":"394498a7-3e09-4b7d-9dc4-98c2d5cce6a3","company_id":"ccb23d77-c69e-462b-a941-02ce99527e78","title":"Software Engineer I (Data Eng infra)","slug":"software-engineer-i-data-eng-infra-ce880ce9","description":"Who we are \n Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.\n The Aurora Driver  will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.\n  \n At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit  aurora.tech  or follow us on  LinkedIn .\n  \n What we are looking for \n Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. \n We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be working with our seasoned engineers and contribute to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.\n In this role, you will \n \n Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.\n Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.\n Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.\n Optimize data processing systems for performance, reliability, and cost-efficiency.\n Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.\n Champion best practices in data governance, data quality, and security.\n \n Required Qualifications \n \n Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n 1+ years of recent professional experience in software engineering, with a focus on data-related projects.\n Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).\n Preliminary experience with big data processing frameworks like Apache Spark, Flink, Kinesis Data Stream, or similar technologies.\n Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).\n Strong knowledge of SQL and experience working with relational and NoSQL databases.\n Preliminary knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools\n Experience with building and managing data pipelines using an orchestrator like Apache Airflow.\n Able to systematically approach open-ended questions to identify pragmatic data solutions that scale\n Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment\n Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders\n \n Desirable Qualifications  \n \n Experience with data warehousing solutions like Snowflake or data lake architectures.\n Familiarity with modern data stack tools and practices.\n A passion for building elegant, scalable, and maintainable systems.\n Experience using Amazon Web Services (AWS) tools\n \n The base salary wage range for this position is $116K-$174K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. \n  #LI-SP1 \n Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\n We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.\n Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .\n Our commitment to safety \n At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at ","salary_min":116000,"salary_max":174000,"location":"Mountain View, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["data-pipeline","autonomous-vehicles","cloud","data-science","infrastructure"],"apply_url":"https://aurora.tech/jobs/8628066002?gh_jid=8628066002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:24:28Z","expires_at":"2026-08-15T14:05:24.523638Z","created_at":"2026-07-15T14:06:40.845277Z","updated_at":"2026-07-16T14:05:24.669605Z","company_name":"Aurora Innovation","company_slug":"aurora-innovation","company_logo_url":"https://www.google.com/s2/favicons?domain=aurora.tech\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/394498a7-3e09-4b7d-9dc4-98c2d5cce6a3"},{"id":"536847ab-380b-4023-a67d-e6f42968d89e","company_id":"ccb23d77-c69e-462b-a941-02ce99527e78","title":"Senior Software Engineer (Data Engineering and Infrastructure)","slug":"senior-software-engineer-data-engineering-and-infrastructure-fbb63209","description":"Who we are \n Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.\n The Aurora Driver  will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.\n  \n At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit  aurora.tech  or follow us on  LinkedIn .\n  \n What we are looking for \n Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a talented and experienced Software Engineer to join our data engineering and infrastructure team. In this role, you will be a key contributor to the design, development, and maintenance of our data platform, building the scalable and reliable systems that enable our organization to leverage data for insights and product innovation. You will work on the core data lake and data warehouse ecosystem infrastructure, data pipelines, and tools that process data at massive scale, ensuring it is accessible, high-quality, and secure.\n In this role, you will \n \n Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes to ingest, transform, and load data from various sources into our data warehouse.\n Develop and manage data infrastructure components using AWS cloud services and infrastructure-as-code tools like Terraform.\n Collaborate with data scientists, analysts, autonomy engineering teams and product teams to understand their data needs and build solutions that meet their requirements.\n Optimize data processing systems for performance, reliability, and cost-efficiency.\n Implement monitoring, alerting, and logging for data pipelines and infrastructure to ensure operational stability.\n Champion best practices in data governance, data quality, and security.\n Work closely with other senior team members and management to improve the data ecosystem toolings, refine user experience, and continuously polish team roadmap.\n \n Required Qualifications \n \n Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n 5+ years of professional experience in software engineering, with a focus on data-related projects.\n Proficiency in at least one programming language commonly used for data engineering (e.g., Python, Go or C++).\n Solid experience with big data processing frameworks like Presto/Trino, EMR, Apache Spark, Flink, Kinesis Data Stream, or similar technologies.\n Hands-on experience with cloud platforms (AWS, GCP, or Azure) and their data services (e.g., S3, Redshift, BigQuery, Glue).\n Strong knowledge of SQL and experience working with relational and NoSQL databases.\n Intermediate knowledge of data analytics infrastructure, including data transformation tools such as DBT and visualization frameworks and tools\n Experience with building and managing data pipelines using an orchestrator like Apache Airflow.\n Able to systematically approach open-ended questions to identify pragmatic data solutions that scale\n Able to work effectively in a highly cross-functional, fast-moving and high-stakes environment\n Proven ability to communicate technical, data-driven solutions to both technical and non-technical audiences across stakeholders\n \n Desirable Qualifications  \n \n Experience with AI toolings, LLM and agentic frameworks\n Experience with data warehousing solutions like Snowflake or data lake architectures.\n Familiarity with modern data stack tools and practices.\n A passion for building elegant, scalable, and maintainable systems.\n Experience using Amazon Web Services (AWS) tools\n \n The base salary range for this position is $146K-$234K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. \n  #LI-SP1 \n Working at Aurora At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.\n We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.\n Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom .\n Our c","salary_min":146000,"salary_max":234000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","data-pipeline","cloud","llm","autonomous-vehicles","infrastructure","data-science","data-engineering"],"apply_url":"https://aurora.tech/jobs/8628064002?gh_jid=8628064002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:23:27Z","expires_at":"2026-08-15T14:05:24.307008Z","created_at":"2026-07-15T14:06:40.677939Z","updated_at":"2026-07-16T14:05:24.454033Z","company_name":"Aurora Innovation","company_slug":"aurora-innovation","company_logo_url":"https://www.google.com/s2/favicons?domain=aurora.tech\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/536847ab-380b-4023-a67d-e6f42968d89e"},{"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":["payments","distributed-systems","cloud","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":"2026-08-15T14:02:20.885607Z","created_at":"2026-07-12T14:01:51.382499Z","updated_at":"2026-07-16T14:02:21.005883Z","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":"390fea98-a9ba-4487-890a-77d135398888","company_id":"19955a21-2cd6-41fd-a4a8-19b7a942ac16","title":"Lead Value Engineer - Life Sciences","slug":"lead-value-engineer-life-sciences-4c32b22b","description":"Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.\n \n Role Description \n As a Lead Value Engineer specializing in the Life Sciences, you are pushing the envelope in solving business-critical problems for the world's largest, most diversified life science organizations. You will be working intimately with this strategic client, understanding their uniquely complex objectives—spanning from logistics to the precision distribution of advanced products—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners (e.g., Microsoft, OpenAI, Databricks)..\n With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the intricate realities of our customers’ supply chain networks and enables them to industrialize AI. This unlocks real ROI on AI deployments at scale, ensuring life-saving products reach patients faster and safer. There is no AI without PI. You will prototype these solutions, demonstrate their value to Chief Supply Chain Officers (CSCOs) and operational leaders, and ensure successful implementation, adoption, and value realization to increase the footprint of Celonis across the life sciences sector.\n Key Responsibilities \n \n \n AI Discovery \u0026 Solutioning: Understand the client's overarching AI strategy and the distinct supply chain challenges across both their MedTech portfolios (e.g., mitigating global raw material shortages, optimizing supply chains, managing inventories, or accelerating quality batch releases). As a Celonis product and life sciences domain expert, translate these complex, multi-tiered logistics requirements into innovative AI solutions that drive measurable impact..\n \n Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds in the supply chain are successfully reached.\n \n Hackathons \u0026 Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex, fragmented supply chain networks. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points in planning, sourcing, manufacturing, and distribution.\n \n Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., autonomous inventory rebalancing or intelligent shipment exception handling).\n \n Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise ERPs (e.g., SAP), Quality Management Systems (QMS), and strict regulatory frameworks (FDA, EMA, GxP).\n \n Domain \u0026 Industry Leadership: Serve as the internal and external technical subject matter expert for the Life Sciences Supply Chain, scaling knowledge across the organization regarding pharmaceutical manufacturing and logistics processes.\n \n Requirements \n \n \n 8+ years of experience leading technical pre-sales and post-sales engagements specifically within Life Sciences, Pharmaceutical, or MedTech supply chains. This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.\n \n Deep understanding of supply chain business processes native to Life Sciences (such as Sales \u0026 Operations Planning (S\u0026OP), Procure-to-Pay, Track \u0026 Trace, Cold Chain Management, or Quality Control/Batch Release) with the ability to translate high-level business needs into specific AI use cases.\n \n Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent chatbots for supplier collaboration, automated extraction of data from complex customs or quality documents).\n \n Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and techn","salary_min":157000,"salary_max":184000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","pytorch","fine-tuning","generative-ai","agents","cloud"],"apply_url":"https://job-boards.greenhouse.io/celonis/jobs/7800529003?gh_jid=7800529003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T21:19:52Z","expires_at":"2026-08-15T14:09:17.816161Z","created_at":"2026-07-12T14:07:50.167193Z","updated_at":"2026-07-16T14:09:17.962814Z","company_name":"Celonis","company_slug":"celonis","company_logo_url":"https://www.google.com/s2/favicons?domain=www.celonis.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/390fea98-a9ba-4487-890a-77d135398888"},{"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","cloud","agents","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":"2026-08-15T14:08:08.060734Z","created_at":"2026-07-12T14:06:49.759609Z","updated_at":"2026-07-16T14:08:08.195387Z","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":["cloud","agents","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":"2026-08-15T14:08:07.978718Z","created_at":"2026-07-12T14:06:49.67441Z","updated_at":"2026-07-16T14:08:08.101862Z","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":["llm","security","distributed-systems","alignment","cloud"],"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":"2026-08-15T14:00:25.501604Z","created_at":"2026-07-12T14:00:22.963819Z","updated_at":"2026-07-16T14:00:25.619944Z","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":["distributed-systems","search","agents","data-pipeline","api-design","cloud","llm"],"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":"2026-08-15T14:04:04.297114Z","created_at":"2026-07-12T14:03:17.754756Z","updated_at":"2026-07-16T14:04:04.428691Z","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":["agents","llm","search","api-design","cloud","data-pipeline","distributed-systems"],"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":"2026-08-15T14:04:04.206223Z","created_at":"2026-07-12T14:03:17.835612Z","updated_at":"2026-07-16T14:04:04.327025Z","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"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":1631,"total_pages":82}