OpenAI · 1 day ago
Simulation Environments Engineer
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$255K/yr - $405K/yrOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are seeking a Simulation Environments Engineer to build tooling and infrastructure for realistic virtual environments for robotics research, focusing on creating systems for environment generation and validation at scale.
Agentic AIArtificial Intelligence (AI)Foundational AIGenerative AIMachine LearningNatural Language ProcessingSaaS
Responsibilities
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
Qualification
Required
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
Create processes and templates to onboard new object libraries and contracted asset work; provide clear acceptance tests and automation for vendor deliverables
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
Company
OpenAI
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation.
Founded in 2015
201-500 employees
H1B Sponsorship
OpenAI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2022 (18)
2021 (10)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
$79BKey Investors
The Walt Disney CompanySoftBankThrive Capital
2025-12-11Corporate Round· $1B
2025-10-02Secondary Market· $6.6B
2025-03-31Series Unknown· $40B
Leadership Team
Sam Altman
CEO & Co-Founder
Greg Brockman
President, Chairman, & Co-Founder
Recent News
2026-01-21
Business Insider
2026-01-21
Company data provided by crunchbase