Anduril is seeking a Senior Machine Learning Engineer to develop robust locomotion policies for legged robotic platforms operating in contested environments
Job Summary
Anduril is seeking a Senior Machine Learning Engineer to develop robust locomotion policies for legged robotic platforms operating in contested environments.
The role involves owning the full pipeline from simulation training using GPU-parallelized environments to real-world deployment on physical systems.
Candidates must be eligible to obtain and maintain a U.S. security clearance to work with the Department of Defense and Intelligence Community.
Matching Summary
Anduril is seeking a Senior Machine Learning Engineer to develop robust locomotion policies for legged robotic platforms operating in contested environments.
Salary
Base: $220,000 - $336,000 USD; Bonus/Equity: Highly competitive equity grants included; Benefits: Top-tier benefits package available at little to no cost
Skills & Requirements
Must-have
Reinforcement learning for legged robots
Sim-to-real transfer pipeline
Physics simulation Isaac Gym MuJoCo
Python and PyTorch proficiency
Terrain curriculum development
Nice-to-have
Bipedal or multi-limbed platform experience
NVIDIA Isaac Lab or Omniverse expertise
Publications in robotics venues
Defense technology background
Startup experience
Key Requirements
3 - 8+ years of RL experience for legged/mobile robots
Strong background in dynamics, control, and robot locomotion
Hands-on sim-to-real transfer experience on physical robots
Eligible to obtain and maintain U.S. security clearance