Role OverviewWe are sharing a full-time leadership opportunity for an experienced robotics research executive with deep expertise in robot learning, embodied AI, robotics software, multimodal data, perception, manipulation, and large-scale robotics data systems.
What You Will Do
Define the research strategy behind robotics data and robot learning, build and mentor a high-performing research team, and work across research, engineering, product, and operations to develop scalable robotics data systems and evaluation frameworks.
Why It Might Be a Fit
Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering, proven experience leading or mentoring technical or research teams, and deep understanding of robotics data pipelines and multimodal datasets.
Requirements
- Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering
- Proven experience leading or mentoring technical or research teams
- Deep understanding of robotics data pipelines and multimodal datasets
- Strong expertise in perception, manipulation, control, imitation learning, reinforcement learning, or robotics foundation models
- Experience designing and evaluating large-scale robotics datasets
- Ability to translate research into scalable systems
- Excellent written and verbal communication skills
- Master's or PhD in Robotics, Computer Science, AI, Electrical Engineering, or a related field is highly valued
- Publications at CoRL, RSS, ICRA, IROS, NeurIPS, ICML, CVPR, or comparable venues are advantageous
- Experience with ROS/ROS2, Isaac Lab, Isaac Sim, MuJoCo, Habitat, ManiSkill, or similar environments is valuable
- Open-source robotics contributions or significant embodied-AI research are advantageous
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