This role focuses on advancing physics-based simulation fidelity for contact-rich manipulation and locomotion in dynamic environments
Job Summary
This role focuses on advancing physics-based simulation fidelity for contact-rich manipulation and locomotion in dynamic environments.
You will design high-performance simulation tools integrated into a robotics design stack to translate research ideas into robust, verifiable data.
The team operates at the cutting edge of physics simulation, reinforcement learning, and sim-to-real transfer while collaborating with world-class engineers.
Matching Summary
Match Score: 85
This role focuses on advancing physics-based simulation fidelity for contact-rich manipulation and locomotion in dynamic environments.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Physics-based simulation development
Sim-to-real transfer methods
Machine learning for robotics
Rigid and deformable body dynamics
Digital twin simulation pipelines
Nice-to-have
Collaboration with engineering teams
Hardware-in-the-loop experience
Reinforcement learning background
Human-robot interaction research
Safety validation frameworks
Key Requirements
Advanced degree in Robotics or related field
Experience with physics simulation engines
Background in machine learning and control systems