Research Engineer, Simulation

Job Description

• Research Engineers in simulation are generalists who build the simulation stack and close the sim-to-real gap • A typical day involves building contact-rich physics simulation, scaling up reinforcement learning algorithms, or solving the sim-to-real gap in the visual or physics domains • Own simulation and focus on making simulation as widely used as possible within the company • Drive AI model evaluation and iteration speed by making simulation a trusted proxy of the real world • Work closely with other AI team members and also develop independently

Qualifications

• Bachelor’s degree in Computer Science or equivalent • 3+ years of professional, full-time experience building simulation • Experience with physical simulators (Pybullet, IssacSim, Mujoco, etc.) and training policies in simulation • Experience with physics simulation (contact dynamics, system identification, physics engines) • Experience learning-based approaches to close the sim-to-real gap (domain adaptation, randomization) • Experience generating simulated assets and environments (Blender, Maya) • Published research in top Simulation or ML conferences (SIGGRAPH, NeurIPS, CoRL, RSS, etc.)

Benefits

• Total compensation package including base salary from US$105,000 to US$250,000 annually • Generous stock options and other benefits