Staff Engineer - Robot Learning, Embodied AI
Hybrid · United States
Core
Lead engineering for the real-to-sim stack to bridge the sim-to-real gap in visual-spatial understanding for embodied AI systems.
Role type
Staff Engineer, Robot Learning (Embodied AI)
Builds
Scalable real-to-sim stack for robotics autonomy teams
Domain
Robotics, Embodied AI, Simulation, Computer Vision
Deliverable
production ML models
Required skills
Reinforcement learning, Imitation learning, Deep learning (PyTorch), Simulation tools (NVIDIA Isaac Sim, MuJoCo), Python, C++, 3D scene representation, Real robot experimentation
Preferred skills
Robotics benchmark authorship, Early product adoption, Simulation infrastructure extension, Vision-based navigation policies, Real-world reconstruction pipelines
Technologies
NVIDIA Isaac Sim, Isaac Lab, MuJoCo, PyTorch, Python, C++
