🛠 Tech Stack

💼 About This Role

You'll train whole-body policies for locomotion and manipulation in simulation and own the stack from environment design to deployment. You'll build scalable simulation environments and run large-scale GPU training experiments. This role offers massive scope and radical ownership on a lean, high-impact team.

🎯 What You'll Do

• Train whole-body policies for locomotion and manipulation
• Build scalable simulation environments in IsaacLab or MuJoCo
• Design rewards and curricula for stable long-horizon learning
• Own sim-to-real transfer via domain randomization

📋 Requirements

• Strong coding skills in Python, C++, or Rust
• Strong foundations in modern reinforcement learning
• Experience training embodied control policies
• Hands-on robotics simulation experience

✨ Nice to Have

• CUDA programming experience
• Solid intuition for dynamics and contact
• Experience running large-scale GPU experiments

🎁 Benefits & Perks

• 💵 $200K – $350K compensation
• 🏢 Lean team with radical ownership
• 🚀 Massive scope and rapid iteration