# Simulation Environments Engineer **Company**: OpenAI **Location**: San Francisco **Work arrangement**: hybrid **Experience**: mid **Job type**: full-time **Salary**: $230K – $385K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/39cd0dd8-520d-4932-80bf-7495a1d1d11b **Canonical**: https://yubhub.co/jobs/job_d3f7efba-55c ## Description ## 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. 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 all of humanity. We push the boundaries of the capabilities of AI systems and seek to ## Skills ### Required - modern world engines - NVIDIA Isaac Sim - Unity - Unreal Engine - Omniverse - procedural generation - domain randomization - CAD/asset import - USD/GLTF/FBX/texture workflows - collision mesh generation - LODs - material/physics metadata ### Nice to have - game-engine practice - asset engineering - large-scale simulation infrastructure