🛠 Tech Stack

💼 About This Role

You'll design and build motion data pipelines for Apptronik's humanoid robot Apollo, integrating mocap, teleoperation, and generative AI. Your work will directly enable humanoid robots to move with unprecedented fluidity through reinforcement learning pipelines. This role offers the chance to shape embodied AI at a cutting-edge robotics company.

🎯 What You'll Do

• Design and maintain end-to-end motion data pipelines from multiple sources.
• Implement kinematic and dynamic retargeting for human-to-robot mapping.
• Develop tools to clean raw demo data and synthesize new behaviors.
• Generate high-volume trajectory datasets for whole-body RL training.

📋 Requirements

• 2+ years of industry or applied research experience in robotics or related field.
• Strong understanding of robot kinematics (FK/IK) and rigid body dynamics.
• Experience building pipelines for spatial data (mocap, teleoperation, etc.).
• Expertise in Python for scripting and pipeline automation.

✨ Nice to Have

• Hands-on experience with motion generation models (e.g., GMR, Omni-retarget).
• Proficiency in C++.
• Familiarity with game engines (Unreal Engine or Unity) or physics simulators.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 Health Insurance
• 📈 Equity
• 💻 Remote Flexibility
• 🚀 Cutting-edge Robotics

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3On-site Interview· 4 hours