Santa Clara, CA30+ days ago
p>What you will be doing: Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;
Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;
Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;
Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;
Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;
Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.
Ways to stand out from the crowd:
Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field;
Experience at autonomous driving or humanoid robotics companies on real hardware deployment;
Experience in robot hardware design;
Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment as well as contributions to popular open-source robotics frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.