Senior Research Engineer, Humanoid Manipulation

What you'll do

• Design, train, and evaluate manipulation models and strategies, including through on-robot testing and deployment.
• Develop foundation-model architectures, data collection, training pipelines, and deployment infrastructure that support cross-platform generalization.
• Build reliable robotic systems and experimental infrastructure, collaborating across research, engineering, and field teams.

What they ask for

• Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
• 2+ years of hands-on experience in robotic manipulation and/or robot learning in academic or industry settings.
• Strong foundation in robot kinematics, dynamics, and control, plus learning-based manipulation, including reinforcement learning and imitation learning.
• Experience training modern deep-learning models, using frameworks such as PyTorch, building reproducible training and evaluation pipelines, and implementing and evaluating systems on real hardware.

Nice to have

• Experience with humanoid robots or multi-fingered robotic hands, or training large-scale robot foundation models.
• Experience with reinforcement-learning fine-tuning, offline RL, large-scale robotics data collection, or relevant publications or open-source contributions.

Pay

USD 150,000–300,000 per-year-salary (base salary)

Tools

PyTorch

AI focus

Develop learned manipulation and loco-manipulation models and robotics foundation models, using imitation learning, reinforcement learning, and other training approaches; support data collection, large-scale training, evaluation, and deployment.