AI Platform Engineer Jobs in California
AI Platform Engineer jobs in California are open across San Francisco, San Jose, and Santa Clara and other California metros, with employers like Adobe, NVIDIA, and Together AI hiring at every experience level. Find a role that fits below and apply directly.
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About Brain Co.
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy.
We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.
Our progress so far:
- Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value
- Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses
- Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work
Company momentum:
- Raised a $55M Series A from leading investors
- Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate.
We are looking for leaders who want to help bring new technology into institutions that impact millions of people.
What You'll Work On
You'll join the DevX pod — the team that owns the build system, CI/CD, monorepo, and developer tooling that set the ceiling on how fast every other engineer at BrainCo can ship.
This is a force-multiplier role: your work compounds as we add teams, services, and customers. BrainCo's monorepo spans Python, TypeScript, and Go, runs on Nx, and ships to production environments that include regulated and air-gapped customer deployments. As we grow from a handful of teams to dozens, the leverage of this role compounds.
Your job is to discover, measure, and remove developer friction. You should be comfortable going from "this workflow is slow or confusing" to instrumented evidence, a shipped improvement, and clear before / after impact.
Own the monorepo and build system
- Own the architecture and ongoing health of our Nx-based monorepo: project graph, dependency boundaries, language toolchains (pnpm, uv, Go), and code generation patterns.
- Make builds and tests fast, reliable, and incremental at scale.
Design and operate CI/CD
- Build CI/CD systems with strong guarantees around correctness, reproducibility, and speed.
- Own pipeline architecture, caching, parallelism, secret flow, and release engineering for environments that include regulated and air-gapped customer deployments.
Developer tooling and workflows
- Design internal CLIs, scaffolding, local dev stacks (Tilt, Docker, Kubernetes), and code-quality infrastructure (lint, typecheck, format, pre-commit).
- Own the developer-facing experience for deployment and environment workflows, while partnering with Infrastructure on the underlying cloud, Kubernetes, networking, and runtime substrate.
- Create paved paths the team actually wants to use — not guardrails that get bypassed.
Treat developer tools as production systems
- Run the build, CI, and dev infra with real SLOs, observability, and on-call rigor. Internal downtime is downtime.
Solve ambiguous productivity problems
- Identify what's slowing engineers down, instrument it, and fix it from first principles.
- Move from "X is slow" to a measured, deployed improvement with clear before/after numbers.
Operate this like a real product
- End-to-end ownership: architecture, implementation, rollout, observability, on-call, and iteration based on internal user feedback.
- Partner closely with every engineering team. Drive adoption through quality, not mandates.
You Might Be a Great Fit If You…
We're looking for engineers who treat developer experience as a product — engineers who reach for users, not just specs.
Developer Platform & Build Systems
- Have 5+ years building developer-facing infrastructure: monorepo platforms, build systems, CI/CD, or internal tooling.
- Have hands-on depth with at least one modern monorepo tool (Nx, Bazel, Pants, Buck, Turborepo) and the willingness to go deeper.
- Have strong fluency with CI/CD systems at scale (GitHub Actions, Buildkite, CircleCI, or similar): matrix design, caching strategies, secret flow, parallelism.
- Are fluent in at least two of: Go, Python, TypeScript, Rust, Bash.
Platform & Product Mindset
- Have shipped developer platforms that real engineers adopted.
- Have measured developer friction and shown clear before / after impact from tooling, CI, build, release, or workflow improvements.
- Have strong intuition for developer experience, paved paths, and long-term maintainability.
- Are comfortable owning the full lifecycle: design doc, MVP, hardening, adoption.
Production & Reliability
- Have owned developer-facing systems with real uptime and operational responsibility.
- Are familiar with observability tooling and incident response.
Ways You Might Stand Out
- Built or significantly contributed to a remote build cache, custom build system, or hermetic build pipeline (Bazel, Nix, etc.).
- Led a polyrepo monorepo (or reverse) migration at scale.
- Experience applying DORA / SPACE or other DX metrics in practice.
- Background in release engineering, supply-chain security (SLSA, Sigstore), or artifact management.
- Built internal PaaS, dev environments, or scaffolding generators.
- Experience building or maintaining a frontend platform or design system — shared component library, design tokens, Storybook / visual-regression infra, a11y or perf budgets across apps.
- Open-source contributions to Nx plugins, GitHub Actions, or related developer tooling.
- Exposure to multi-tenant, regulated, or air-gapped deployment environments.
Why This Role Matters
You'll set the ceiling on how fast every other engineer at BrainCo can ship. As we grow from a handful of teams to dozens — building AI systems for governments and regulated industries — the platform that lets us move quickly without breaking what matters becomes one of the highest-leverage systems in the company.
Benefits
- Competitive salary plus equity
- Medical, Dental, and Vision coverage
- 401(k)
- Unlimited PTO
- Daily lunches
- Commuter benefits
See All 85 AI Platform Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find AI Platform Engineer JobsAI Platform Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI Platform Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Adobe5

- NVIDIA5

- Together AI5

- Apple4

- BRAIN4

Top Industries Hiring
- Technology & Software55
- Electronics & Hardware17
- Artificial Intelligence10
- Science & Research6
- Transportation & Logistics3
What California Employers Look For
The qualifications that appear most often in AI platform engineer jobs across California.
- Proficiency in Python and at least one infrastructure-as-code tool such as Terraform
- Hands-on experience with Kubernetes, Docker, and container orchestration at scale
- Experience building or maintaining MLOps pipelines using tools like Kubeflow, MLflow, or similar
- Familiarity with major cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with data pipeline frameworks such as Apache Spark, Airflow, or Ray
AI Platform Engineer Jobs in California: Frequently Asked Questions
How many AI platform engineer jobs are there in California?
There are 85+ AI platform engineer openings in California on Migrate Mate as of June 2026, with the most roles in San Francisco, San Jose, and Santa Clara. New positions post regularly as employers across California hire.
How much do AI platform engineers make in California?
AI platform engineers in California earn a median of about $134,440 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $58,340 for the lowest 10% to over $222,690 for the top 10%. Pay rises with experience, specialty, and employer.
Which California cities have the most AI platform engineer jobs?
San Francisco, San Jose, and Santa Clara have the most AI platform engineer openings in California right now, with additional roles spread across smaller metros statewide.
Which companies hire AI platform engineers in California?
Employers hiring AI platform engineers in California include Adobe, NVIDIA, and Together AI, based on current listings on Migrate Mate as of June 2026.
Are there remote AI platform engineer jobs in California?
Yes. About 32% of AI platform engineer openings tied to California are remote or hybrid as of June 2026. The rest are on-site roles based in California metros.
How do I apply for AI platform engineer jobs in California?
You can apply to AI platform engineer jobs in California directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred California location, then apply to each one that fits.
See All 85 AI Platform Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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