Senior Applied Scientist, Robotics Simulation
Core
Develop physics-based simulation methodologies to accelerate robot development and reduce the simulation-to-reality gap for advanced robotics systems.
Role type
Senior Applied Scientist (Robotics Simulation)
Builds
Scalable, production-grade simulation pipelines and tools for rigid and deformable body dynamics
Domain
Robotics, Physics Simulation, Reinforcement Learning
Deliverable
production ML models
Required skills
Physics-based simulation, Rigid and deformable dynamics, Contact mechanics, Computational geometry, Numerical methods, High-performance computing, Modern physics engines (MuJoCo, Isaac Lab, Drake, Newton), Simulation-to-reality transfer
Preferred skills
Reinforcement learning, Differentiable physics, Neural physics engines, Legged locomotion, Robotics model formats (URDF, SDF, USD), GPU-accelerated computing, Real-world deployment
Technologies
MuJoCo, Isaac Lab, Drake, Newton, Python, C++, Java, URDF, SDF, USD
Responsibilities
Advance physics-based simulation fidelity for contact-rich manipulation and locomotion, Design and build high-performance simulation tools integrated into a production robotics stack, Translate research ideas into robust, scalable software pipelines, Develop methods to quantify and reduce simulation-to-reality gaps, Architect scalable simulation solutions for rigid and deformable body dynamics, Build simulation pipelines optimized for large-scale reinforcement and policy learning
Seniority
Senior, hands-on IC with research leadership