Member of Technical Staff - Engineering

The posting, as Patronus AI, Inc. wrote it

About Patronus AI

Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.

We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench , Lynx , SimpleSafetyTests , CopyrightCatcher , Humanity’s Last Exam , and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.

Responsibilities

As a Member of Technical Staff – Engineering at Patronus AI, you’ll build the systems, infrastructure, and products that power our simulation research and agent training work.

This is a broad engineering role for people who like operating across boundaries. Depending on the problem, you might build a realistic RL environment end-to-end, design infrastructure for running thousands of agent trajectories, ship internal platforms used by researchers, deploy and serve models, or build AI-powered developer tools that make the entire team faster.

You’ll work across the stack — frontend interfaces, backend services, infrastructure, and ML/agent integrations — and partner closely with researchers and engineers to turn ambiguous problems into robust systems.

We’re looking for engineers with high ownership, strong product and technical judgment, and the ability to learn unfamiliar areas quickly. You don't need to be an expert in every part of the stack. You should have meaningful depth somewhere and the curiosity and engineering range to work wherever the problem requires.

In this role, you will

• 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 clos

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d GPUs.

• GPU infrastructure, workload schedulers, Kubernetes, containers, CI/CD, and cloud infrastructure.
• MLOps/LLMOps tooling, experiment tracking, model registries, and production observability.
• Browser automation tools such as Playwright or Selenium.
• Building or deeply using complex enterprise software and understanding the operational edge cases that accumulate in real-world systems.

We don't expect you to check every box. We're more interested in engineers who have demonstrated exceptional depth somewhere, can learn quickly, and are excited to take ownership of whatever technical problem matters most.

To support close collaboration, this role is based in our San Francisco headquarters and requires in-office attendance 5 days a week.

The expected base salary range for this role is $160,000 - $300,000 USD . In addition to base salary, we offer equity and benefits. Actual compensation will be determined based on experience, qualifications, skills, and location.

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!

Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

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