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.