Jobs/San Francisco/Simulation Environments Engineer
San Francisco, California, United States

Simulation Environments Engineer

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.

Company
OpenAI
Compensation
$230K - $385K
Schedule
Full-Time
Role overview

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Simulation Environments Engineer at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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.

Responsibilities

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  • 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.)
Requirements

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      Simulation Environments EngineerOpenAISan FranciscoUSArtificial Intelligenceaillmmachine-learningresearchawssecurityplatformapipythoninfrastructure
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