Powering generalist robotics and world models with multi-million-hour annotated egocentric data, hand tracking, upper-body/whole-body motion capture, tactile sensing, and simulation for OpenAI, Google DeepMind, Meta, Figure, 1X, Skild, Genesis AI, and Dyna... Backed by South Park Commons.
About the role
We are looking for a Research Engineer to build simulation environments, training workflows, and evaluation systems for embodied AI and robotics. You will help create the virtual environments and tools that enable robotic policies to be trained, tested, and evaluated at scale before being deployed in the real world. Depending on your expertise, you may focus on simulation-based policy training and evaluation, or on scene reconstruction and synthetic data generation. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience in robotics simulation, robotics research, simulation-based training, or a related technical field
- Strong Python programming skills and familiarity with relevant robotics or simulation tools
- Experience with at least one simulation platform, such as Isaac Sim, Isaac Lab, MuJoCo, or an equivalent framework
- Understanding of robotic systems, 3D environments, physics simulation, or learning-based robotics
- Experience building functional simulation environments, training workflows, evaluation pipelines, or synthetic data systems
- Strong debugging and experimental skills, with the ability to validate whether simulation results reflect meaningful real-world behavior
More about this role
We are looking for a Research Engineer to build simulation environments, training workflows, and evaluation systems for embodied AI and robotics.
You will help create the virtual environments and tools that enable robotic policies to be trained, tested, and evaluated at scale before being deployed in the real world. Depending on your expertise, you may focus on simulation-based policy training and evaluation, or on scene reconstruction and synthetic data generation.
This role is ideal for an engineer with strong simulation or robotics experience who enjoys building technically grounded environments that support real learning and measurable improvements in robotic performance.
Build and maintain simulation environments for robot learning, training, and evaluation.
Develop robotic tasks, environments, reward functions, and evaluation metrics.
Work with platforms such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or similar simulation frameworks.
Support simulation-based policy training and automated evaluation at scale.
Implement domain randomization and other techniques to improve policy robustness and sim-to-real transfer.
Develop sensor simulation, synthetic data generation, or scene...
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