JOB-2031
An AI startup working on foundation models for the physical world supplies synthetic training data to robotics research labs. New contracts have created a pressing need to grow the simulation team, and the company welcomes everyone from fresh graduate-degree holders to seasoned practitioners.
What you’ll own
- Create detailed robotics simulations and large volumes of 3D digital assets using Blender and Python
- Produce synthetic datasets that fill the gap left by scarce real-world robot data
- Develop the tooling and pipelines used to build, run and score simulated environments
- Model dynamics, physics and contact interactions for humanoids, manipulators and robot arms
- Work side by side with a group of PhD-level researchers
What you bring
- Hands-on strength in Blender and Python, which matters most
- Proven work creating realistic simulation environments or the tooling behind them, from either academic research or a company setting
- Either relevant simulation experience at a robotics, world-model or large technology organization, or a strong degree in CS, mechanical engineering or robotics (MS or PhD preferred)
- Familiarity with simulators such as Isaac Sim, MuJoCo, PyBullet, Gazebo or Drake
- A robotics or embodied AI simulation background
On-site in the San Francisco Bay Area, five days a week. Visa transfers considered.

