{"has_next":true,"jobs":[{"id":"fd4226af-9faa-4819-8327-113cce284a3e","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Software Engineer, Delivery / CD","slug":"software-engineer-delivery-cd-ac48f409","description":"About the Role\n\nThe Engineering Acceleration Delivery / Continuous Deployment team builds and operates the systems that safely ship OpenAI’s infrastructure and product code to production.\n\nWe own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across OpenAI to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous.\n\nThis role sits at the intersection of developer productivity, distributed systems reliability, and large-scale infrastructure orchestration.\n\n\n\nIn This Role, You Will\n\n - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions.\n\n - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback.\n\n - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows.\n\n - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale.\n\n - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns.\n\n - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks.\n\n - Build systems that support agent-assisted or autonomous deployment workflows using modern AI tooling.\n   \n   \n\nTechnologies commonly used in this environment include:\n\n\n\n - Kubernetes for large-scale container orchestration and runtime infrastructure\n\n - Python and FastAPI for internal services\n\n - Terraform for infrastructure as code\n\n - GitOps-based deployment workflows (e.g., ArgoCD, Flux, or similar systems)\n\n - Buildkite for CI orchestration\n   \n\nYou may be a strong fit if you:\n\n - Have worked with Kubernetes-based deployment systems at scale\n\n - Have experience building or operating continuous deployment platforms\n\n - Are familiar with GitOps tooling such as ArgoCD or Flux\n\n - Are excited about building AI-assisted systems and agents that intelligently shepherd software changes from commit to safe production rollout.\n\n - Care deeply about safe production rollouts and minimizing blast radius\n\n - Enjoy building internal platforms that improve developer productivity across the organization\n   \n   \n\nCompensation\n\n$230K – $490K + Offers Equity\n\n\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241\u0026k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg\u0026d=57018692298241.\n\nOpenAI Global Applicant Privacy P","salary_min":230000,"salary_max":490000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/openai/e14fc37c-7ae5-4a6b-ba0d-a36860cf9bb2/application","is_featured":true,"is_sticky":false,"status":"active","published_at":"2026-05-04T18:54:22.168Z","expires_at":"2026-06-29T14:00:50.232199Z","created_at":"2026-04-13T09:36:32.989672Z","updated_at":"2026-05-30T14:00:50.33833Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":85,"url":"https://aidevboard.com/job/fd4226af-9faa-4819-8327-113cce284a3e"},{"id":"577d4902-fac2-40fd-9d40-2f5c20df045a","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Developer Platform","slug":"senior-software-engineer-developer-platform-f5dcd14a","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\n\n\n\nABOUT THE ROLE\n\nWe’re looking for a Senior Software Engineer to help build and evolve our internal developer platform—everything from CI/CD and release automation to observability standards, platform tooling, and developer workflows that remove friction.\n\nThis role is for someone who loves making other engineers faster: reducing build times, eliminating flaky tests, creating paved roads for service creation/deployment, and raising the bar on operability by default. Roles like this often combine “builder” energy with strong empathy for how engineers actually work.\n\n\n\n\nWHAT YOU'LL DO\n\n - Developer productivity \u0026 platform tooling\n   \n   - Identify workflow bottlenecks (build/test/release/local dev) and build tools that measurably reduce toil.\n   \n   - Create and maintain “golden paths” like service templates, CLIs, libraries, and automation that teams rely on.\n\n - CI/CD \u0026 release engineering\n   \n   - Design reusable CI pipelines and deployment workflows that are fast, safe, and easy to adopt across teams.\n   \n   - Improve reliability of builds and tests (flake reduction, hermeticity, caching) and drive down cycle time.\n   \n   - Support progressive delivery patterns (canary / blue-green) and safe rollback mechanisms.\n\n - Observability \u0026 operational excellence\n   \n   - Establish shared observability primitives (metrics/logs/traces), standards, and libraries so services are production-ready by default.\n   \n   - Partner with product engineers to improve operability: SLOs, alerting hygiene, dashboards, incident learnings.\n\n - Infrastructure foundations\n   \n   - Build and improve core platform capabilities that make it easy to run and scale services.\n\n - Ownership \u0026 reliability\n   \n   - Own the systems you build end-to-end and help keep them healthy in production, improving reliability over time.\n\n\n\n\nYOUR BACKGROUND LOOKS SOMETHING LIKE THIS\n\n - 4+ years building production software, with meaningful experience in platform / devtools / infrastructure (or adjacent SRE/release engineering).\n\n - Strong coding ability in at least one systems/productivity language (e.g., Python, TypeScript/JS), and comfort building developer-facing tooling (CLIs, libraries, automation).\n\n - Hands-on experience with CI/CD systems and designing pipelines that are scalable and reusable across many repos/services.\n\n - Practical experience with observability in production systems (instrumentation, alerting, dashboards, incident response).\n\n - Comfort with containers and modern cloud infrastructure (e.g., Docker/Kubernetes and related tooling).\n\n - A track record of improving developer experience through measurable outcomes (faster builds, fewer flakes, safer deploys, fewer incidents).\n\n - Strong cross-team collaboration and communication—especially writing clear docs and driving adoption.\n\n\n\n\nEVEN BETTER IF YOU HAVE\n\n - Experience with monorepos and build systems and/or large-scale CI performance work.\n\n - Experience building internal platforms: service templates, paved-road deployment, self-serve environments, developer portals.\n\n - Infrastructure-as-code experience (e.g., Terraform) and a security-minded approach to supply chain (provenance, secrets, least privilege).\n\n - Experience applying AI-assisted tooling to make engineers dramatically more effective.\n\n\n\n\nCOMPENSATION\n\n$200K – $400K + Offers Equity\n\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.\n\nIn addition to base salary, we offer competitive equity. Final compensation may vary based ","salary_min":200000,"salary_max":400000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["cloud","agents","infrastructure","platform"],"apply_url":"https://jobs.ashbyhq.com/decagon/c15c3dc8-6df7-43ca-aeeb-dc2beed2668e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T23:19:24.295Z","expires_at":"2026-06-29T14:07:12.463759Z","created_at":"2026-05-30T14:07:12.575972Z","updated_at":"2026-05-30T14:07:12.575972Z","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/577d4902-fac2-40fd-9d40-2f5c20df045a"},{"id":"aae8b669-3776-4de3-8b0f-32302056ea43","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Data Infrastructure","slug":"senior-software-engineer-data-infrastructure-4c459d4c","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\nWe organize around four focus areas:\n\n - Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency.\n\n - Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.\n\n - ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.\n\n - Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.\n\nOur mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues quickly and accurately.\n\n \n\nAbout the Role\nWe're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products. You'll own critical data pipelines and storage layers end‑to‑end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.\n\nIn this role, you will\n\n - Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.\n\n - Build and operate real‑time and batch ingestion infrastructure using tools like Kafka, Flink, and Airflow.\n\n - Own our analytical data layer — schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.\n\n - Partner with research and product teams to architect data solutions, evaluate performance, and scale new features.\n\n - Tune pipeline and query latencies: optimize data paths, apply smart caching/partitioning, and hit tight p95/p99 targets.\n\n - Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy‑as‑code.\n\n - Participate in on‑call and drive down toil through automation and elimination of recurring data issues.\n\nYour background looks something like this\n\n - 5+ years building and operating production data infrastructure at scale.\n\n - Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.\n\n - Proven track record meeting high availability and low latency targets across streaming and batch workloads.\n\n - Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.\n\n - Clear written communication and the ability to turn ambiguous data requirements into simple, reliable designs.\n\nEven better if you have\n\n - Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)\n\n - Familiarity with Spark or Dask for large‑scale data processing\n\n - Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)\n\n - Experience being an early data/platform/infrastructure engineer at another company\n\n - Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)\n\n - Experience with customer‑managed deployments\n\n \n\n\nCOMPENSATION\n\n$200K – $400K + Offers Equity\n\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.\n\nIn addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.\n\n\n\nBenefits\n\nWe proudly offer the following benefits for our full-time employees:\n\n - Take what you need vacation policy (","salary_min":200000,"salary_max":400000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","llm","data-pipeline","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/decagon/0d0beb6b-61a2-40e3-9955-adcff9cbc92e/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T23:17:54.192Z","expires_at":"2026-06-29T14:07:13.674618Z","created_at":"2026-05-30T14:07:13.790812Z","updated_at":"2026-05-30T14:07:13.790812Z","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/aae8b669-3776-4de3-8b0f-32302056ea43"},{"id":"3b0f1d10-c226-4905-9392-d5d4cdceab10","company_id":"776e5e7d-beba-4889-a481-6d9d7c3af325","title":"Senior Software Engineer, Data Infrastructure","slug":"senior-software-engineer-data-infrastructure-20b94406","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\nWe organize around four focus areas:\n\n - Core Infra: The foundational cloud stack—networking, compute, storage, security, and infrastructure‑as‑code—to ensure reliability, scale, and cost efficiency.\n\n - Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.\n\n - ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.\n\n - Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.\n\nOur mission is to deliver magical support experiences — AI agents working alongside humans to resolve issues quickly and accurately.\n\n\n\nAbout the Role\nWe're hiring a Senior Data Infrastructure Engineer to design, build, and operate the data systems that power Decagon's AI products. You'll own critical data pipelines and storage layers end‑to‑end, improve reliability and performance, and create paved paths that let every Decagon engineer work confidently with data at scale.\n\nIn this role, you will\n\n - Design and implement high‑throughput data pipelines and streaming systems with strong SLOs, clear runbooks, and actionable telemetry.\n\n - Build and operate real‑time and batch ingestion infrastructure using tools like Kafka, Flink, and Airflow.\n\n - Own our analytical data layer — schema design, query performance, and cost optimization across ClickHouse, BigQuery, or similar.\n\n - Partner with research and product teams to architect data solutions, evaluate performance, and scale new features.\n\n - Tune pipeline and query latencies: optimize data paths, apply smart caching/partitioning, and hit tight p95/p99 targets.\n\n - Lead infrastructure‑as‑code (Terraform) and GitOps practices for data systems; reduce drift with reusable modules and policy‑as‑code.\n\n - Participate in on‑call and drive down toil through automation and elimination of recurring data issues.\n\nYour background looks something like this\n\n - 5+ years building and operating production data infrastructure at scale.\n\n - Hands-on experience with Tier 1 data technologies: ClickHouse, Kafka (or MSK/Pub‑Sub/RabbitMQ), and Flink or dbt.\n\n - Proven track record meeting high availability and low latency targets across streaming and batch workloads.\n\n - Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and strong incident response discipline.\n\n - Clear written communication and the ability to turn ambiguous data requirements into simple, reliable designs.\n\nEven better if you have\n\n - Experience with CDC tooling (Debezium) and orchestration frameworks (Airflow, Dagster, or Prefect)\n\n - Familiarity with Spark or Dask for large‑scale data processing\n\n - Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)\n\n - Experience being an early data/platform/infrastructure engineer at another company\n\n - Strong Kubernetes experience (GKE/EKS/AKS) and multi‑cloud exposure (GCP, AWS, Azure)\n\n - Experience with customer‑managed deployments\n\n\n\n\nCOMPENSATION\n\n$200K – $400K + Offers Equity\n\nThis range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.\n\nIn addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.\n\n\n\nBenefits\n\nWe proudly offer the following benefits for our full-time employees:\n\n - Take what you need vacation policy (subj","salary_min":200000,"salary_max":400000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["llm","data-pipeline","agents","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/decagon/d400020b-2f97-4316-a8c2-9dc70f254cdd/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-29T23:14:29.883Z","expires_at":"2026-06-29T14:07:13.754967Z","created_at":"2026-05-30T14:07:13.876706Z","updated_at":"2026-05-30T14:07:13.876706Z","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/3b0f1d10-c226-4905-9392-d5d4cdceab10"},{"id":"f31b0853-bd93-4641-84d1-bd9c12ae40a7","company_id":"9bad7e3a-74e6-4dae-87c5-f3e9f0e72bd0","title":"Software Engineer, ML Performance Optimization","slug":"software-engineer-ml-performance-optimization-f0fa3daa","description":"Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. \n \nThe Opportunity\nAre you excited to lead our ML Performance Optimization initiatives and make our Training and Inference platform that enables autonomous driving as fast and efficient as possible? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.\n \nWe build and operate the base layer of ML tools, deep learning frameworks, and inference systems used by our applied research teams for in- and off-vehicle ML use cases. You will lead a team of strong software engineers and act as a force multiplier for our internal customers. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here.\n","salary_min":192000,"salary_max":257000,"location":"Foster City, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","deep-learning","machine-learning","infrastructure"],"apply_url":"https://jobs.lever.co/zoox/bc11276c-8db7-426e-9d00-d41c2097723a/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T22:34:49.506Z","expires_at":"2026-06-29T14:05:50.532577Z","created_at":"2026-05-29T14:17:35.896107Z","updated_at":"2026-05-30T14:05:50.639807Z","company_name":"Zoox","company_slug":"zoox","company_logo_url":"https://www.google.com/s2/favicons?domain=zoox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f31b0853-bd93-4641-84d1-bd9c12ae40a7"},{"id":"79fa1bbf-4677-4dd1-b934-83c129fa9aef","company_id":"9d70a126-16ff-4f5c-9f36-2133735865d3","title":"Engineering Manager, Agentic Workflows ","slug":"engineering-manager-agentic-workflows-ee84264f","description":"Who We Are \n Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. \n We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.\n You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. \n \n About the Role \n We are looking for an Engineering Manager to lead a new team focused on building AI agents that improve engineering velocity, reliability, and developer experience across the company. This team will operate with a 0→1 charter inside our Infrastructure / DevX organization, developing agentic systems that automate workflows such as CI failure triage, autonomous deployments, incident response, and proactive bug detection. The work will have a broad impact across all engineering teams by reducing toil and enabling faster iteration.\n This role is both strategic and hands-on: you will define the roadmap, build and grow the team, and actively contribute to prototyping and development.\n What You'll Do \n \n Make every engineer more productive by eliminating repetitive workflows through AI agents\n Define and own the agent roadmap: what to automate, in what order, and how to measure success\n Build and lead a small, high-impact team of engineers\n Contribute hands-on to prototyping, coding, and unblocking technical challenges\n Establish evaluation frameworks for agent performance (golden tasks, regression sets, replay, LLM-as-judge)\n Partner closely with Infrastructure, Security, and DevX teams to integrate agents into core workflows\n Drive high engineering standards through design docs, RFCs, and strong execution\n \n What You Bring \n \n 7+ years of software engineering experience, with 2+ years in engineering management\n Proven experience shipping production systems, including agentic or automation-heavy workflows\n Strong hands-on coding ability in Python, Go, or TypeScript\n Experience building systems that interact with APIs, tools, and external services (not just prompt-based interfaces)\n Demonstrated ability to define metrics and evaluate system performance rigorously\n Experience writing clear technical design documents and driving alignment\n \n Nice to Have \n \n Experience building or managing developer tooling or internal platforms\n Familiarity with agent frameworks or orchestration systems\n Experience in monorepo environments\n Startup or early-stage team experience (0→1 or small team scaling)\n \n \n US Employee Benefits \n Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:\n \n Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans\n Nationwide medical, vision and dental coverage\n Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options\n Expanded mental health support\n Paid parental leave policy \u0026 fertility benefits\n Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time\n Professional development stipend\n Fertility Stipend\n Wellness/fitness benefits\n Healthy lunches provided daily\n Commuter benefits\n \n Additional Information \n \n We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.\n \n Annual Pay Range \n At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for ","salary_min":200000,"salary_max":350000,"location":"San Mateo, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","llm","healthcare","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/verkada/jobs/5148388007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T23:10:47Z","expires_at":"2026-06-29T14:09:29.112725Z","created_at":"2026-05-28T14:11:05.261963Z","updated_at":"2026-05-30T14:09:29.226552Z","company_name":"Verkada","company_slug":"verkada","company_logo_url":"https://www.google.com/s2/favicons?domain=verkada.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/79fa1bbf-4677-4dd1-b934-83c129fa9aef"},{"id":"1d143344-1df1-4f1b-9d3d-471e99c3eb21","company_id":"baca6349-80b0-417a-97a1-b31511860322","title":"Site Reliability Engineer","slug":"site-reliability-engineer-0d3e749c","description":"Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500,000 developers worldwide and an annual recurring revenue run rate exceeding $120M, Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022, we’ve grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud, on-prem, and hybrid environments. As a remote-first, globally distributed company, we are building the infrastructure layer that powers the next generation of AI systems.\n The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions.\n This team is responsible for:\n \n Defining and enforcing reliability standards across engineering\n Designing incident response processes and improving recovery times\n Building observability systems and reliability tooling\n Driving SLO adoption and production readiness reviews\n \n Reducing operational toil through automation\n The Reliability team works cross-functionally with Infrastructure, Product Engineering, and Support to ensure our systems remain stable and performant as we scale rapidly. We value proactive problem solving, automation-first thinking, and strong ownership of production systems.\n As a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen.\n This role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure.\n This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod.\n Your Impact \n \n Increase platform uptime and reduce incident frequency and duration\n Establish and operationalize SLIs/SLOs across services\n Improve MTTR through better tooling, automation, and runbooks\n Strengthen production readiness standards\n Drive long-term systemic reliability improvements\n \n You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company.\n Responsibilities: \n Reliability Engineering \n \n Define and implement SLIs/SLOs for critical services\n Lead incident response and coordinate cross-team mitigation efforts\n Conduct blameless postmortems and ensure corrective actions are completed\n Perform production readiness reviews for new services and features\n Identify systemic risks and drive preventative improvements\n \n Observability \u0026 Monitoring \n \n Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.)\n Improve signal-to-noise ratio in alerts and reduce alert fatigue\n Build internal tooling for reliability tracking and reporting\n Improve visibility into GPU performance and distributed systems health\n \n Automation \u0026 Toil Reduction \n \n Automate recurring operational workflows\n Build tools and scripts (Python, Go, Bash) to eliminate manual processes\n Improve deployment safety through automation and guardrails\n Strengthen CI/CD reliability and release processes\n \n Cross-Functional Reliability Advocacy \n \n Partner with engineering teams to improve system resilience\n Provide guidance on fault tolerance, scalability, and failure handling\n Contribute to architectural discussions with a reliability-first mindset\n \n Requirements: \n \n 5+ years of experience in SRE, Reliability Engineering, or Production Engineering\n Strong Linux systems and Networking expertise\n Experience managing containerized production systems\n Strong understanding of distributed systems and failure modes\n Experience defining and managing SLIs/SLOs\n Proven incident response and postmortem leadership experience\n Strong scripting or programming skills\n Experience with monitoring and alerting systems\n Excellent written communication skills\n Successful completion of a background check\n \n Preferred: \n \n Experience with GPU infrastructure or AI/ML platforms\n Experience improving reliability in high-growth or large scale environments\n Familiarity with GPU observability tooling\n Experience with Infrastructure as Code\n Experience working in startup environments\n Experience building internal reliability platforms or frameworks\n \n What You’ll Receive: \n \n The competitive base pay for this position ranges from $150,000- $200,000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candida","salary_min":150000,"salary_max":200000,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["gpu","distributed-systems","infrastructure","devops"],"apply_url":"https://job-boards.greenhouse.io/runpod/jobs/5229443008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-22T19:03:55Z","expires_at":"2026-06-29T14:13:40.120853Z","created_at":"2026-05-27T14:14:13.643293Z","updated_at":"2026-05-30T14:13:40.241741Z","company_name":"RunPod","company_slug":"runpod","company_logo_url":"https://www.google.com/s2/favicons?domain=runpod.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1d143344-1df1-4f1b-9d3d-471e99c3eb21"},{"id":"de07a07f-bf9b-404c-afb9-f5c999826ed8","company_id":"5d6de1f6-4d6c-463b-8a2b-a5caeadb97b4","title":"Software Engineer - Airflow Infrastructure","slug":"software-engineer-airflow-infrastructure-27365068","description":"Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io http://www.astronomer.io.\n\n\nABOUT THIS ROLE:\n\nAt Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R\u0026D organization is home to some of the most innovative minds in cloud infrastructure and open-source software.\n\nWe’re looking for a Software Engineer to join our Airflow Infra team, part of Astro, our flagship cloud platform. You’ll be building the critical layer that connects the open-source Airflow ecosystem to enterprise-grade, massively scalable cloud infrastructure.\n\nYour work will directly influence how global organizations orchestrate data pipelines at scale - making them faster, more reliable, and easier to manage.\n\nIf you’re driven by impact, excited by scale, and ready to work on the kind of infrastructure challenges that push the boundaries of what’s possible in cloud-native systems, this is the opportunity you’ve been waiting for.\n\n\n\nThis role is based in New York City with a hybrid work schedule.\n\n\n\n\nWHAT YOU GET TO DO:\n\n - Engineer backend services with high quality, maintainable and well tested code.\n\n - Partner with other engineers, product, customer reliability support, and leadership to achieve business goals and define how our systems should evolve.\n\n - Regularly engage in code reviews and provide constructive feedback.\n\n - Optimize the performance, reliability and scalability of existing backend services.\n\n - Investigate, prototype and propose ideas to improve user experience.\n\n - Create and maintain technical documentation for systems and processes, ensuring clarity and accessibility.\n\n - Participate in on-call rotation, troubleshoot and debug to solve incidents.\n\n\n\n\nWHAT YOU BRING TO THE ROLE:\n\n - 3-5 years of experience in Python / Golang and Kubernetes.\n\n - Solid understanding of and experience with integrating with RESTful APIs and distributed systems.\n\n - Comfortable with testing frameworks, such as pytest.\n\n - Strong communication skills, both written and verbal, with experience in creating technical specifications.\n\n - A passion for reliability and operational excellence.\n\n - Ability to scope work and coordinate cross-functionally to address risks and ensure successful delivery.\n\n - Experience with software development best practices, such as code reviews, testing, CI/CD, version control, automation and debugging.\n\n - Ability to adjust to change and rapid pace of development.\n\n - Proactive approach to identifying and addressing issues, with a focus on ownership and accountability.\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - Experience with Apache Airflow\n\n - Experience working on a SaaS product\n\n\n\nThe estimated salary for this role ranges from $150,000 - $165,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.\n\n\n\n#LI-Fulltime\n\n#LI-Hybrid\n\n\n\nAt Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.","salary_min":150000,"salary_max":165000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"mid","tags":["cloud","distributed-systems","data-pipeline","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/astronomer/01ef4c2a-cc88-4488-9597-bab3933bbfab/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-22T11:07:07.074Z","expires_at":"2026-06-29T14:16:40.346071Z","created_at":"2026-05-27T14:17:27.853576Z","updated_at":"2026-05-30T14:16:40.458234Z","company_name":"Astronomer","company_slug":"astronomer","company_logo_url":"https://www.google.com/s2/favicons?domain=astronomer.io\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/de07a07f-bf9b-404c-afb9-f5c999826ed8"},{"id":"12749446-611e-48f3-b643-568d3c7be3f0","company_id":"053355fc-0162-4bb9-b414-cbf7679ee9c8","title":"Staff Product Manager - Infrastructure, Data \u0026 Security ","slug":"staff-product-manager-infrastructure-data-security-60ff4f34","description":"About Snorkel \n At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.\n We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!\n The Role: \n We are looking for a Technical Product Manager to own the roadmap and execution across Snorkel AI's Infrastructure organization, spanning three engineering pods: Core Services, Developer Experience, and Security. This is not a customer-facing product role, you will be the PM for internal platforms, data infrastructure, and security systems that the rest of engineering and the business depend on. You will be the single point of coordination across a broad surface area that currently lacks dedicated product leadership.\n What You Will Do: \n The Infrastructure org owns the data platform, event systems, observability, developer tooling, release pipelines, and the full security stack. The engineering leadership and pod leads are very technical but the org needs a PM who can translate business and compliance requirements into prioritized infrastructure investments, manage dependencies across pods and partner teams, and hold the line on scope and delivery timelines. Today, prioritization decisions are made ad hoc by engineering leads who are also deep in technical execution. This role gives the org a dedicated owner for roadmap clarity, stakeholder alignment, and cross-pod coordination.\n Business context and infrastructure strategy: \n \n Develop a deep understanding of Snorkel AI's business, how the datasets are sold, and how should the platform be deployed, and scaled to support customers across AI labs, enterprise and federal and use that context to work closely with engineering leaders and product PMs to translate business scaling, security and functional needs into deployment patterns, and go-to-market requirements into concrete, prioritized projects for the Infrastructure org. Without this, infrastructure roadmaps become technically interesting but disconnected from what actually moves the business forward.\n \n Roadmap and prioritization across all three pods: \n \n Work with engineering leads to define quarterly roadmaps for Core Services (data platform, metrics platform, event systems, observability, fraud detection, infrastructure cost management, platform customization infrastructure, SDS project infrastructure), Developer Experience (CI/CD, release pipelines, dev systems, AI dev tooling), and Security (Auth0 migration, AuthN/AuthZ, cloud security, encryption).\n Make trade-off decisions when pods compete for shared resources or when new asks land mid-quarter. The org carries significant surface area relative to headcount. Your job is to ensure the team is working on the highest-leverage problems, not just the loudest requests.\n \n Stakeholder management and requirements gathering: \n \n Be the interface between the Infrastructure org and its consumers: product engineering teams who depend on Dataset APIs, Platform APIs, and Packaging APIs; the data science and analytics teams who depend on Cascade and the transformation layer; GTM and customer success teams who surface compliance and security requirements from enterprise and federal customers.\n Translate customer compliance requirements (SOC 2, FedRAMP, GDPR) into concrete security and data governance work items with clear acceptance criteria.\n \n Adoption and internal evangelism:  \n \n Proactively engage product PMs and engineering leads to ensure teams are leveraging infrastructure services, SDKs, and shared libraries (unified data access, event bus, security SDKs, CI/CD tooling) rather than building one-off solutions.\n Track adoption metrics, SDK integration coverage, service onboarding rates, migration completions, and identify teams that are lagging or working around infrastructure offerings. Close the loop by either driving adoption or feeding unmet requirements back into the roadmap.\n The Infrastructure org's impact is only as real as its adoption. You own the push to make sure the work doesn't just ship, it lands.\n \n Cross-pod coordination on foundational initiatives: \n \n Drive initiatives that span multiple pods, such as the unified data access library (which touches Core Services for the library itself, Security for auth/RBAC/encryption enforcement, and Developer Experience for SDK distribution and testing tooling).\n Coordina","salary_min":240000,"salary_max":300000,"location":"Redwood City, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["llm","reinforcement-learning","generative-ai","mlops","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/snorkelai/jobs/6001496004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T18:27:52Z","expires_at":"2026-06-29T14:03:06.795706Z","created_at":"2026-05-27T14:03:19.232673Z","updated_at":"2026-05-30T14:03:06.906572Z","company_name":"Snorkel AI","company_slug":"snorkel-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=snorkel.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/12749446-611e-48f3-b643-568d3c7be3f0"},{"id":"df1eb663-3291-469f-99fa-889a704b06f9","company_id":"714f360f-a244-487d-b3f0-0c43518a9e66","title":"Data Scientist II, Infrastructure","slug":"data-scientist-ii-infrastructure-76c04719","description":"About Pinterest: \n Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.\n Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the  flexibility to do your best work. Creating a career you love? It’s Possible.\n At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.\n Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .\n Pinterest brings millions of people the inspiration to create a life they love. Behind that experience is a complex infrastructure ecosystem that powers reliability, performance, measurement, and efficiency across the platform. As Pinterest grows, it’s increasingly important that we understand these systems clearly so we can make smarter decisions for both Pinners and the business.\n  \n We’re looking for a Data Scientist to join our Infrastructure Data Science team. In this role, you’ll partner with engineering and cross-functional teams to make Pinterest’s infrastructure more measurable, intelligible, and actionable. Depending on the area, your work may span app performance, shopping infrastructure, metrics quality, infrastructure governance, or site reliability. You’ll help build the data foundations, measurement systems, and analytical frameworks that enable Pinterest to optimize core technical systems and make better product and infrastructure decisions. \n What you’ll do: \n In this role, you will partner closely with engineering and cross-functional teams to improve how Pinterest measures, understands, and optimizes its infrastructure:\n \n Partner with engineering teams to define, measure, and improve the health, quality, and efficiency of Pinterest’s infrastructure systems.\n Build and refine metrics, dashboards, and analytical frameworks that make complex technical systems more understandable and actionable.\n Strengthen data foundations by improving metric definitions, auditing data quality, and contributing to pipeline and measurement improvements where needed.\n Design and analyze experiments, investigations, and deep dives to quantify the impact of infrastructure changes on user experience, reliability, and business outcomes.\n Translate ambiguous technical problems into clear analyses and actionable recommendations for engineering and platform partners.\n Support high-priority investigations and decision-making related to infrastructure performance, reliability, cost, and measurement quality.\n Identify opportunities to improve how Pinterest measures and optimizes infrastructure across a range of domains, such as performance, shopping infrastructure, governance, metrics quality, and site reliability. \n \n What we’re looking for: \n \n Masters degree in a relevant field such as Statistics, Applied Math, Biostatistics, or equivalent experience.\n Strong SQL and analytical programming skills, with experience working through messy, imperfect data and building reliable metrics and datasets.\n Experience partnering on or contributing to production-ready data pipelines, measurement systems, or foundational data work that improves data quality and usability.\n Solid foundation in experimentation and measurement, with the ability to design analyses, interpret results rigorously, and partner effectively with engineers and other cross-functional stakeholders.\n Demonstrated ability to translate ambiguous problems into clear analytical workstreams and actionable recommendations.\n Strong cross-functional communication skills, with the ability to explain technical findings clearly to engineering, product, and platform stakeholders.\n Ability to operate independently, prioritize across both longer-term projects and fast-turn inbound requests, and drive work forward in a dynamic environment.\n Curiosity and a builder mindset, with excitement for improving messy systems and creating more scalable, trustworthy measurement foundations.\n \n  \n Relocation Statement: \n \n \n We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. \n \n  \n In-Office Requirement Statement: \n \n This position is not eligible for relocation assistance. Visit our PinFlex page to l","salary_min":114297,"salary_max":235319,"location":"San Francisco, CA","workplace":"remote","job_type":"full-time","experience_level":"mid","tags":["data-pipeline","data-science","data-engineering","infrastructure"],"apply_url":"https://www.pinterestcareers.com/jobs/?gh_jid=7816424","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-18T18:21:18Z","expires_at":"2026-06-29T14:08:25.367154Z","created_at":"2026-05-27T14:08:38.877001Z","updated_at":"2026-05-30T14:08:25.481605Z","company_name":"Pinterest","company_slug":"pinterest","company_logo_url":"https://www.google.com/s2/favicons?domain=www.pinterest.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/df1eb663-3291-469f-99fa-889a704b06f9"},{"id":"ffe5f3ba-8c16-4fd8-b4bb-8b32e36fc8ec","company_id":"35b5bf82-2cae-43a8-8aac-88501c3267ed","title":"Senior Robot Infrastructure Engineer","slug":"senior-robot-infrastructure-engineer-2be99595","description":"Company Overview \n At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.\n  \n Position Overview \n We are seeking a versatile Robotics Infrastructure Engineer to build the edge-to-cloud systems that connect, manage, update, and monitor our robot fleet at scale. Your work will span on-device software, cloud infrastructure, fleet observability, OTA updates, and reliable connectivity in real-world environments. You should be comfortable writing production-grade C++ and Python on robots while also designing secure, low-latency pipelines into cloud and web platforms. This role involves close collaboration with robotics, autonomy, hardware, deployment, and web product teams to unlock new capabilities powered by real-time robot data.\n Responsibilities \n \n Design, implement, and maintain production-grade C++ and Go running directly on robotic platforms.\n Build on-device systems for interfacing with core robotics software, managing local data buffering, and handling edge-side communication logic.\n Architect and maintain secure, low-latency edge-to-cloud data pipelines connecting deployed robot fleets to cloud infrastructure and web platforms.\n Design, build, and operate OTA update mechanisms for safely and reliably deploying software updates to robots in the field.\n Build telemetry, alerting, logging, and monitoring tools across the robot operating system, cloud infrastructure, and fleet dashboards.\n Optimize edge software for reliability, performance, resource usage, and resilience under real-world deployment constraints.\n Collaborate with autonomy, hardware, deployment, and web product teams to support new features powered by live robot data and fleet-scale infrastructure.\n Continuously improve fleet reliability, observability, uptime across both device and cloud systems.\n \n Preferred Qualifications \n \n 3+ years of relevant industry experience.\n Strong production programming experience in C++ and Go.\n Prior experience deploying, operating, or managing connected hardware, IoT devices, or robotic systems at scale.\n Experience architecting and managing cloud infrastructure, including services such as AWS, GCP IoT Core, EC2, S3, Lambda, or related technologies.\n Deep understanding of networking protocols commonly used in robotics, IoT, or constrained environments, such as MQTT, WebSockets, gRPC, or similar protocols.\n Demonstrated experience building or managing OTA update systems for edge devices or deployed fleets.\n Strong systems-level understanding of edge computing constraints, including CPU, memory, storage, power cycles, connectivity loss, and local data persistence.\n Experience building fleet observability systems, including telemetry, metrics, logging, alerting, monitoring, and uptime tracking.\n Strong focus on reliability, fault tolerance, self-healing infrastructure, and safe operation of deployed systems.\n Experience with OS-level OTA infrastructure or full-device update mechanisms\n \n  \n Base Salary Range\n $100,000 — $300,000 USD","salary_min":100000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["robotics","cloud","data-pipeline","api-design","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/skildai-careers/jobs/5222931008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-16T01:55:22Z","expires_at":"2026-06-29T14:10:37.3216Z","created_at":"2026-05-16T14:11:11.960044Z","updated_at":"2026-05-30T14:10:37.435069Z","company_name":"SkildAI","company_slug":"skildai","company_logo_url":"https://www.google.com/s2/favicons?domain=skild.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ffe5f3ba-8c16-4fd8-b4bb-8b32e36fc8ec"},{"id":"0ce49d5e-f8c3-4bc9-a3ce-e75b15639e55","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Software Engineer - AI Research Infrastructure","slug":"staff-software-engineer-ai-research-infrastructure-33807e21","description":"Staff Software Engineer - AI Research Infrastructure\n P-1215 \n At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.\n The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.\n Job Description \n As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security.\n You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support.\n The Impact you will have \n As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will: \n \n Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems)\n Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring.\n Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time.\n Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers.\n Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems.\n \n What We Look for \n \n BS/MS or PhD in Computer Science or related field\n 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure.\n Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers.\n Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services.\n Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems).\n Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist.\n Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services.\n Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.\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 $199,000 — $270,000 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 ","salary_min":199000,"salary_max":270000,"location":"New York, NY","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["agents","llm","data-pipeline","search","distributed-systems","infrastructure","research"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8552484002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T18:58:23Z","expires_at":"2026-06-29T14:02:01.694464Z","created_at":"2026-05-16T14:02:13.783526Z","updated_at":"2026-05-30T14:02:01.800856Z","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/0ce49d5e-f8c3-4bc9-a3ce-e75b15639e55"},{"id":"0ced9737-338d-413e-9cb9-3d0e124cf77e","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Software Engineer - AI Data Applications","slug":"senior-software-engineer-ai-data-applications-e143fc45","description":"Mission Summary: \n We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! \n What You'll Be Doing: \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n Development:\n \n Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. \n Mentor junior engineers and peers on best practices and adoption strategies \n \n \n What We're Looking For \n \n Experience:\n \n BS or MS in Computer Science or related field\n 4+ years of professional experience in building web applications \n Extensive experience with building web applications for search and data curation needs. \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $149,000 — $198,500 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.","salary_min":149000,"salary_max":198500,"location":"Remote (US)","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","api-design","cloud","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7735404003#/7735404003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T14:17:24Z","expires_at":"2026-06-29T14:06:00.588947Z","created_at":"2026-05-16T14:06:27.340247Z","updated_at":"2026-05-30T14:06:00.69853Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0ced9737-338d-413e-9cb9-3d0e124cf77e"},{"id":"8a5298b2-3593-4dec-b3ee-231b513ac170","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Software Engineer - AI Data Applications","slug":"senior-software-engineer-ai-data-applications-7b29a9b0","description":"Mission Summary: \n We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! \n What You'll Be Doing: \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n Development:\n \n Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. \n Mentor junior engineers and peers on best practices and adoption strategies \n \n \n What We're Looking For \n \n Experience:\n \n BS or MS in Computer Science or related field\n 4+ years of professional experience in building web applications \n Extensive experience with building web applications for search and data curation needs. \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $149,000 — $198,500 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.","salary_min":149000,"salary_max":198500,"location":"Las Vegas, Nevada, United States","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["api-design","autonomous-vehicles","cloud","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7735400003#/7735400003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T14:17:22Z","expires_at":"2026-06-29T14:06:00.500431Z","created_at":"2026-05-16T14:06:27.515118Z","updated_at":"2026-05-30T14:06:00.620439Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8a5298b2-3593-4dec-b3ee-231b513ac170"},{"id":"10e85e4e-7421-4df7-953f-52c8632ff4a7","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Software Engineer - AI Data Applications","slug":"senior-software-engineer-ai-data-applications-4a034890","description":"Mission Summary: \n We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! \n What You'll Be Doing: \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n Development:\n \n Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. \n Mentor junior engineers and peers on best practices and adoption strategies \n \n \n What We're Looking For \n \n Experience:\n \n BS or MS in Computer Science or related field\n 4+ years of professional experience in building web applications \n Extensive experience with building web applications for search and data curation needs. \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $149,000 — $198,500 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.","salary_min":149000,"salary_max":198500,"location":"Pittsburgh, PA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["api-design","autonomous-vehicles","cloud","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7735397003#/7735397003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T14:17:20Z","expires_at":"2026-06-29T14:06:00.743328Z","created_at":"2026-05-16T14:06:27.429748Z","updated_at":"2026-05-30T14:06:00.851804Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/10e85e4e-7421-4df7-953f-52c8632ff4a7"},{"id":"3de60889-9325-4683-b8c3-3bc71c34288c","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Senior Software Engineer - AI Data Applications","slug":"senior-software-engineer-ai-data-applications-c3009e48","description":"Mission Summary: \n We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! \n What You'll Be Doing: \n \n Cross-functional Collaboration:\n \n Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.\n Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. \n \n Development:\n \n Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. \n Mentor junior engineers and peers on best practices and adoption strategies \n \n \n What We're Looking For \n \n Experience:\n \n BS or MS in Computer Science or related field\n 4+ years of professional experience in building web applications \n Extensive experience with building web applications for search and data curation needs. \n \n Technical Skills:\n \n Strong programming skills in Typescript and Python.\n Strong knowledge of modern frontend technologies such React.\n Strong knowledge of building REST and gRPC based services, ideally in Python. \n Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform \n \n \n Bonus Points (not required):  \n \n Prior experience in autonomous vehicles (AV) is a plus.\n Prior experience with Bazel based build systems. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $149,000 — $198,500 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.","salary_min":149000,"salary_max":198500,"location":"Boston, MA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["cloud","api-design","autonomous-vehicles","infrastructure"],"apply_url":"https://motional.com/open-positions/?gh_jid=7672319003#/7672319003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T14:17:19Z","expires_at":"2026-06-29T14:06:00.666165Z","created_at":"2026-05-16T14:06:27.612905Z","updated_at":"2026-05-30T14:06:00.776142Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/3de60889-9325-4683-b8c3-3bc71c34288c"},{"id":"4837747f-1516-46d0-bfe4-73d65443b1ed","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Infrastructure Security Engineer","slug":"staff-infrastructure-security-engineer-38f14b70","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\nSome of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time.\n\nSecurity is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build.\n\nAs a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on.This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security.\n\nOur security program at Harvey is driven by our collective offensive security experience: breaking into systems at other companies (in white-hat capacities), responding to real security incidents, and learning from other companies’ data breaches. We regularly conduct penetration tests and red team exercises. At the same time, we are all software engineers - contributing code daily and approaching security with an engineering-first mindset.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Incorporate secure design principles into our cloud architecture.\n\n - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team\n\n - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC)\n\n - Audit our existing cloud environment for vulnerabilities\n\n - Develop policies and procedures for the secure creation and operation of our cloud environments\n\n - Define Harvey’s infrastructure security architecture and multi-year roadmap, translating security requirements into concrete engineering investments\n\n - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default\n\n - Mentor and develop other security engineers on the team, raising the overall technical bar\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 8+ years experience in Security Engineering, Software Engineering, or Site Reliability Engineering roles\n\n - Demonstrated experience writing high-quality software and building production-grade infrastructure and raising the quality bar of engineering teams\n\n - Strong fundamentals in networking, operating systems, and cryptographic protocols\n\n - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors\n\n - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments\n\n - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud)\n\n - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams\n\n - Experience setting security standards and best practices at an organizational scale\n\n - (No experience with generative AI or legal required)\n\n\nBONUS\n\n - Familiarity with large-scale Infrastructure as Code (IaC) deployments\n\n - Familiarity with Kubernetes Admission Controllers and policy enforcement\n\n - Exposure to multi-cloud environments\n\n\n\n\n\n\nC","salary_min":220000,"salary_max":330000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["agents","security","generative-ai","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/harvey/5fff8490-5b85-4aa8-9401-179be3d23141/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-13T14:53:11.75Z","expires_at":"2026-06-29T14:02:09.49678Z","created_at":"2026-05-14T14:02:43.587372Z","updated_at":"2026-05-30T14:02:09.613747Z","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/4837747f-1516-46d0-bfe4-73d65443b1ed"},{"id":"fab9d920-5bca-4369-9f94-ebd36718ac5e","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Infrastructure Engineer ","slug":"infrastructure-engineer-54ff7957","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $100,080 - $150,120, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n Are you a strong coder who loves automating systems so you only need to do anything just once? Are you motivated by the idea of working for a non-profit that’s working on AI for the common good?  If so, our infrastructure team is seeking an Infrastructure Engineer who thrives both independently and as part of a collaborative team. In this role, you’ll work closely with our IT  help desk team to identify opportunities for automation to keep our company running smoothly. If you enjoy taking initiative, learning on the fly, and making a real impact, we want you on our team.\n Who We Are:  \n At Ai2, you'll be joining a team of top AI researchers and talented engineers who are pushing the boundaries of what's possible. We have projects spanning natural language processing, robotics, artificial assistants, and fully open foundational models.  \n As an Infrastructure Engineer, you'll be a key part of our IT team, with a unique opportunity to build core infrastructure that supports all of our groundbreaking initiatives. If you join our team, you will help us invest in automated systems so we can continue to grow our impact while maintaining consistency across the company.\n We have a beautiful new office right across from Lake Union in Seattle; catered lunches five times a week; great pay and benefits; smart, friendly, and helpful coworkers; and even a couple of kayaks and paddleboards you can take out on sunny days.\n Your Next Challenge: \n The Infrastructure engineer will fill a critical role on the IT team, identifying and building pipelines that keep the whole company running smoothly.\n The essential functions include, but are not limited to, the following:\n Integrating software subscriptions with Okta for seamless user management \n \n Creating terraform configurations to for consistent management of GCP and AWS\n Building and deploying software that monitors for security vulnerabilities\n Investing in infrastructure to aggregate costs across all our services into a consistent format\n Deploying automation to audit user access across all of our software subscriptions\n Building and maintaining an automated pipeline for managing people, their accounts, and permissions\n \n Troubleshooting, documenting, and maintaining our internal systems \n \n Developing incident response automation, including auto-remediation workflows for common alerts\n Implementing backup and disaster recovery automation across critical systems and data stores\n \n What You’ll Need: \n \n Excellent communication, customer service, and problem-solving skills\n 5+ years of experience in IT or software development, with at least 3 years of experience focusing primarily on automation.\n Strong coding ability in a language such as Python\n Familiarity with using GitHub to organize code, and GitHub Actions for automation.\n Experience with specific IT automation tools, such as Terraform, Kandji/Iru, and Okta\n Experience administering and supporting major cloud providers such as AWS and Google Cloud\n Demonstrated knowledge of networking fundamentals\n Proven ability to collaborate with non-technical departments to translate business requirements into automated solutions\n Strong documentation experience with a focus on clear runbooks and end-user guides\n Familiarity with SAML and SCIM for identity and access management\n \n Bonus If You Have: \n \n A background in cybersecurity\n Hands on experience supporting security and compliance audits\n \n Physical Demands and Work Environment: \n The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.\n \n Must be able to remain in a stationary position for long periods of time. \n The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. \n The ability to observe details at close range.\n Can work under deadlines.\n \n A Little More About Ai2: \n Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.\n In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:\n \n We are a learning organization – because eve","salary_min":100080,"salary_max":150120,"location":"Seattle, WA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["security","healthcare","robotics","nlp","cloud","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/7902196","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-12T21:07:25Z","expires_at":"2026-06-29T14:16:42.679445Z","created_at":"2026-05-14T14:17:46.248785Z","updated_at":"2026-05-30T14:16:42.795036Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fab9d920-5bca-4369-9f94-ebd36718ac5e"},{"id":"eeec3dfe-e958-49cf-b0f5-e7a18df0ea3f","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Machine Learning Systems Engineer","slug":"machine-learning-systems-engineer-f009afd8","description":"Mission Summary: We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. \n What you'll be doing: \n \n Performance Profiling \u0026 Optimization : Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.\n Distributed Training : Optimize distributed training pipelines using frameworks such as PyTorch Distributed.\n Kernel Development : Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.\n Data Pipeline Engineering : Optimize robust data loading pipelines that maximize training throughput. \n \n What we're looking for :\n \n Education : Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.\n Software Engineering : Strong proficiency in Python.\n ML Frameworks : Extensive hands-on experience with PyTorch.\n ML Knowledge : Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.\n Problem Solving : Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $144,000 — $192,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models. \n What you'll be doing: \n \n Performance Profiling \u0026 Optimization : Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.\n Distributed Training : Optimize distributed training pipelines using frameworks such as PyTorch Distributed.\n Kernel Development : Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.\n Data Pipeline Engineering : Optimize robust data loading pipelines that maximize training throughput. \n \n What we're looking for :\n \n Education : Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.\n Software Engineering : Strong proficiency in Python.\n ML Frameworks : Extensive hands-on experience with PyTorch.\n ML Knowledge : Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.\n Problem Solving : Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges. \n \n We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. \n The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  \n Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. \n Salary Range\n $144,000 — $192,000 USD \n Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. \n Our journey is always people first. \n We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.\n Higher purpose, greater impact. \n We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  \n Scale up, not starting up. \n Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.\n Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter , LinkedIn ,  Instagram and YouTube .\n Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. 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