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Member of Technical Staff - Engineering

Patronus AI· Research and Engineering
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San Francisco, CA$160k - $300kFull-timePosted 3w ago

About the role

Senior engineering role at Patronus AI building systems, infrastructure, and products to power simulation research and agent training. Cross-stack ownership across frontend, backend, infrastructure, ML/agent integrations, and developer tooling with close collaboration with researchers.

Responsibilities

  • Build agent environments and simulations end-to-end, including frontend interfaces, backend services, APIs, data models, tools, and realistic workflows used to train and evaluate AI agents.
  • Build the infrastructure that powers our agent gym, including orchestration, sandboxing, packaging, benchmarking, and systems for running environments across heterogeneous targets.
  • Develop internal platforms and developer tools used by researchers and engineers, from backends and dashboards to CLIs, SDKs, review agents, codegen helpers, and workflow automations.
  • Build and operate ML infrastructure, including model deployment and serving, evaluation systems, GPU workloads, and the services that make compute accessible to the broader team.
  • Own systems from ambiguous idea through production. Define the problem, make architectural decisions, implement the solution, instrument it, and iterate based on how it performs in practice.
  • Think deeply about correctness and failure modes. Design for edge cases, adversarial agent behavior, reproducibility, observability, and the messy realities of production systems.
  • Partner closely with researchers to productionize experiments and build the software and infrastructure needed to turn research ideas into scalable systems.
  • Be a power user of AI coding tools like Claude Code, Codex, Cursor, and similar tools — and build new tooling and automations on top of them when existing workflows aren't good enough.
  • Move quickly without sacrificing judgment. Make pragmatic decisions about what needs to be robust today, what can evolve later, and where technical investment will create leverage for the team.

Qualifications

  • A BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, or a related quantitative field — or equivalent experience.
  • A track record of shipping non-trivial software end-to-end as an individual contributor, ideally at a startup or on a small, high-velocity team.
  • Strong engineering fundamentals and meaningful depth in at least one of backend/infrastructure, frontend/product engineering, or ML systems, with the ability and desire to work across boundaries.
  • Experience building production systems in languages such as Python, Go, and/or TypeScript, and the ability to become productive quickly in an unfamiliar stack.
  • Experience working with modern LLMs and agents at the application level — including concepts like tool calling, agent loops, context management, harnesses, and evaluation.
  • Strong engineering judgment around system design, correctness, reliability, failure modes, edge cases, and operational complexity.
  • High independence. You can take an ambiguous goal, determine what needs to be built, find the people or information necessary to unblock yourself, and ship without requiring the work to be fully pre-scoped.
  • Fluency with modern AI coding tools and a strong instinct for where AI can automate or accelerate engineering workflows.

Skills

Required:Full-stack engineeringProduction software designPython
Nice to have:GoTypeScriptML systems

Benefits

  • Competitive salary and equity packages
  • 15 days of paid vacation per annum
  • Parental & sick leave
  • Health, dental, and vision insurance plans
  • 401(k) plan + matching
  • In-office lunch & dinner
  • Whoop band
  • Monthly meal stipend
  • Monthly health and wellness stipend
  • Equinox membership
  • Fun global offsites!
Last updated Oct 24, 2026. Interested? Apply on the company site.

About Patronus AI

Simulating the World's Intelligence

Patronus AI develops simulation research and infrastructure to accelerate progress toward human-aligned AGI

SimulationWorld ModelsDigital World ModelsAI researchAGIResearchSoftware Development
Company profileWebsite

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