{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/domain-randomization"},"x-facet":{"type":"skill","slug":"domain-randomization","display":"Domain Randomization","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d3f7efba-55c"},"title":"Simulation Environments Engineer","description":"<p><strong>Simulation Environments Engineer</strong></p>\n<p><strong>About the Team</strong></p>\n<p>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.</p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a <strong>Simulation Environments Engineer</strong> 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.</p>\n<p><strong>This role is based in San Francisco, CA, and requires in-person 3 days a week.</strong></p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build interactive and programmatic tooling to describe, preview, and validate scenes and tasks so researchers can author scenarios quickly and repeatedly.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Build frameworks for procedural generation and controlled randomization (visual, physical, kinematic) so models see a systematic, measurable variety of conditions.</li>\n</ul>\n<ul>\n<li>Define and enforce quality gates for environments (visual fidelity, collision correctness, physical plausibility) and instrument validation tooling so environments meet realism/coverage goals.</li>\n</ul>\n<ul>\n<li>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.)</li>\n</ul>\n<ul>\n<li>Create processes and templates to onboard new object libraries and contracted asset work; provide clear acceptance tests and automation for vendor deliverables.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Enjoy building ergonomic tooling that empowers other engineers and researchers to produce high-quality environments quickly.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Are comfortable with the full content pipeline: CAD/asset import, USD/GLTF/FBX/texture workflows, collision mesh generation, LODs, and material/physics metadata.</li>\n</ul>\n<ul>\n<li>Have built or used procedural generation and domain randomization systems to produce broad, task-relevant variability.</li>\n</ul>\n<ul>\n<li>Care about quality control and validation — you like to design automated checks and visual/quantitative diagnostics that ensure environments are correct and performant.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>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</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d3f7efba-55c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/39cd0dd8-520d-4932-80bf-7495a1d1d11b","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$230K – $385K","x-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"],"x-skills-preferred":["game-engine practice","asset engineering","large-scale simulation infrastructure"],"datePosted":"2026-03-06T18:42:13.611Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"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, game-engine practice, asset engineering, large-scale simulation infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}}]}