OpenAI's Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. They need to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve people's lives. This role is critical for scaling their virtual environments in coverage, realism, and throughput to support this mission.
Requirements
- Experience building NVIDIA Isaac sim environments or environments in other open source world simulation engines.
- hands-on experience optimizing GPU pipelines, distributed compute jobs, or large-scale reinforcement-learning workloads.
- Keep current with advances in physics engines, differentiable simulation, and synthetic-data generation for robot learning.
- Enjoy plumbing every layer of a robotics simulation stack—from CAD import and asset optimization to real-time loading, contact dynamics and rendering.
- Have led projects that bridge simulation and robotics, including teleoperation or hardware-in-the-loop testing.
- Find satisfaction in building ergonomic tools, templates, and documentation that empower dozens of engineers and researchers to author new tasks quickly.
- Want to build creative tasks to challenge cutting edge large action models.
Responsibilities
- Design, build, and maintain a high-performance, scalable simulator integrations that meshes cleanly with our existing codebase and data pipelines.
- Curate, convert, and quality-check open-source environment assets so they can be deployed at scale across our simulation farm.
- Develop domain- and task-randomization frameworks that systematically expose models to diverse visual, physical, and kinematic conditions.
- Lead proof-of-concept collaborations with external GPU-accelerated simulation vendors to benchmark new features and influence roadmap priorities.
- Establish best practices for versioning, testing, and validating simulated scenarios against real-world benchmarks.
- harness modern game development practices to leverage and extend industry-leading platforms such as NVIDIA Isaac Sim, Unity, or Unreal Engine to design and deliver synthetic environments that are dynamic, richly interactive, and photorealistic.
- build scalable content pipelines that enable rapid creation of diverse simulation scenarios within these synthetic environments that will allow our research teams to push the boundaries of robotics training and validation.
Other
- This role is based in San Francisco, CA.
- We use a hybrid work model of 3 days in the office per week.
- offer relocation assistance to new employees.
- You will be given a high degree of autonomy to do this work.
- You will select the platform, help source assets and will help build a team of in-house simulation experts.
