Research Engineer, Robotics & Embodied AI

Requirements

• Currently has, or is in the process of obtaining, a PhD degree in robotics, computer vision, machine learning, or a related field
• Industry experience with modern, general-purpose robot platforms
• Hands-on experience bringing up, calibrating, and debugging a new robot platform from scratch
• Experience running learned policies on real robots and improving their performance
• First-author publications at ICRA, CoRL, RSS, IROS, or CVPR, or widely used open-source contributions
• Proficient in Python and PyTorch

Nice to Haves

• Contributed to open-source robot learning projects such as LeRobot, robosuite, or ManiSkill
• Trained or evaluated large 3D generative or world models
• Built teleoperation rigs and used them to collect robot data at scale
• Debugged policy failures across hardware, data, training, and simulation
• Worked on long-horizon planning for robots
• Worked on 3D computer vision for robots, such as reconstruction, pose estimation, or scene understanding
• Worked on contact-rich manipulation, including force or tactile feedback
• Trained or fine-tuned vision-language-action models or world action models
• Fluent in ROS or ROS 2, including kinematics and camera-to-robot calibration

Responsibilities

• Build, operate, and maintain robot platforms for teleoperation and deployment
• Deploy learned policies on real robots and optimize their performance on-robot
• Work with researchers to design experiments and measure how well policies work on real hardware
• Debug failures across hardware, perception, data, and policies
• Turn research results into working prototypes
• Build tooling that makes experiments repeatable
• Publish research results in top conferences and release code that contributes to the field of robotics