Simulation Environments Engineer at OpenAI — task breakdown

Simulation Environments Engineer | OpenAI Careers ## Simulation Environments Engineer Robotics - San Francisco Apply now(opens in a new window) **About the Team** Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. **About the Role** We are hiring a **Simulation Environments Engineer** to build the tooling and infrastructure that enable high-coverage, realistic virtual environments for robotics research and evaluation. This role is focused on *creating the systems* (not necessarily hand-crafting every asset) that let researchers and engineers describe, visualize, generate, and validate task environments at scale. You will design pipelines for importing and vetting 3rd-party content, author procedural and randomized scenario generators, and ship ergonomic tools that make environment creation fast, repeatable, and testable. This role sits at the intersection of game-engine practice, asset engineering, and large-scale simulation infrastructure. **This role is based in San Francisco, CA, and requires in-person 3 days a week.** **In this role, you will:** * Build interactive and programmatic tooling to describe, preview, and validate scenes and tasks so researchers can author scenarios quickly and repeatedly. * Create content pipelines to curate, convert, optimize and quality-check assets (visual + collision) from third-party collections and internal sources; define standards so assets behave predictably across engines and tasks. * Implement robust importers and adapters that bring environments and setups from Isaac/Unity/Unreal/Omniverse/other repos into our sim pipelines while preserving fidelity and ensuring performance. * Build frameworks for procedural generation and controlled randomization (visual, physical, kinematic) so models see a systematic, measurable variety of conditions. * Define and enforce quality gates for environments (visual fidelity, collision correctness, physical plausibility) and instrument validation tooling so environments meet realism/coverage goals. * Connect environment tooling to CI/CD, presubmit checks, large-scale simulation farms and model-eval pipelines so environments can be tested automatically and run at scale. (You’ll partner with sim-pipelines and sim-realism owners.) * Create processes and templates to onboard new object libraries and contracted asset work; provide clear acceptance tests and automation for vendor deliverables. **You might thrive in this role if you:** * Enjoy building ergonomic tooling that empowers other engineers and researchers to produce high-quality environments quickly. * Have practical experience with modern world engines (NVIDIA Isaac Sim, Unity, Unreal Engine, Omniverse) or equivalent production pipelines and can choose and integrate the right platform for each use case. * Are comfortable with the full content pipeline: CAD/asset import, USD/GLTF/FBX/texture workflows, collision mesh generation, LODs, and material/physics metadata. * Have built or used procedural generation and domain randomization systems to produce broad, task-relevant variability. * Care about quality control and validation — you like to design automated checks and visual/quantitative diagnostics that ensure environments are correct and performant. * Can collaborate across functions — you’ll work closely with researchers, physics/realism engineers, SWE/RE, and vendors to ensure environments are both realistic and actionable for ML training and evaluation. **About OpenAI** OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits a

Simulation Environments Engineer

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