Research Engineer — Robotics Simulation & Evaluation
Core
Build simulation environments, training workflows, and evaluation systems for embodied AI and robotics to enable policy training and testing at scale.
Role type
Research Engineer (Robotics Simulation & Evaluation)
Builds
Virtual environments, training pipelines, evaluation metrics, and synthetic data systems for robotic policy learning.
Domain
Robotics, Embodied AI, Simulation
Deliverable
production ML models
Required skills
Python, robotics simulation frameworks (Isaac Sim, Isaac Lab, MuJoCo), physics simulation, domain randomization, sim-to-real transfer, sensor simulation, scene reconstruction, synthetic data generation, experimental validation
Preferred skills
Robotic policy training/evaluation, large-scale automated evaluation, physically grounded 3D environment creation
Technologies
NVIDIA Isaac Sim, Isaac Lab, MuJoCo
Responsibilities
Build and maintain simulation environments for robot learning and evaluation; Develop robotic tasks, environments, reward functions, and evaluation metrics; Implement domain randomization and techniques to improve policy robustness; Develop sensor simulation and synthetic data generation workflows; Validate simulation results against real-world robot behavior; Build reusable simulation tools and pipelines for reproducibility.
