Develop high-quality software for robotic autonomy simulation frameworks, focusing on performance, coding best practices, and system enhancements.

Develop computer vision models and algorithms for perception in robotics. Implement pipelines for AI model training and deployment on robotic platforms.

The Senior ML Research Engineer will develop manipulation algorithms, motion planning models, and enhance robot learning stacks for high-DOF robotic tasks.

Design and develop mechanical systems for AI robots, collaborate with teams, conduct simulations, and prototype testing to ensure reliability and safety.

Support the development of AI capabilities in robotics by researching ML models, collaborating with teams, and conducting experiments.

Lead full-cycle recruitment for technical roles, partner with hiring managers, manage candidate experience, mentor junior recruiters, oversee onboarding/offboarding.

The Senior Embedded Software Engineer will develop software for robotic applications, integrate systems, optimize performance, and collaborate on hardware designs.

Design, develop, and optimize advanced robotic manipulation and navigation solutions. Collaborate with cross-functional teams for seamless integration and deployment.

Design and implement algorithms for robot localization and mapping, enhancing performance through sensor fusion and collaboration with AI teams.