🛠 Tech Stack

💼 About This Role

You'll develop and deploy locomotion policies for legged robotic platforms at a defense technology company. Your work enables robust mobility across challenging terrain, directly determining operational capability.

🎯 What You'll Do

• Design, train, and deploy RL policies for legged robot locomotion using GPU-parallelized simulation
• Develop terrain curriculum and domain randomization strategies for real-world robustness
• Own the sim-to-real transfer pipeline, identifying and closing reality gaps
• Train policies for stair climbing, rough terrain, payload carry, push recovery, and fall recovery

📋 Requirements

• 3–8+ years of reinforcement learning for legged or mobile robots
• Strong background in dynamics, control, and robot locomotion
• Hands-on experience with physics simulation (Isaac Gym, MuJoCo, PyBullet)
• Proficiency in Python and PyTorch

✨ Nice to Have

• Experience with bipedal or multi-limbed robotic platforms
• Experience with NVIDIA Isaac Lab or Omniverse
• Publications in top robotics venues (RSS, CoRL, ICRA, IROS)

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Highly competitive equity grants
• 🏥 Comprehensive health coverage
• 🎓 Learning and development opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite Interview· 4 hours