Robotics Engineer - Humanoid Robotics (New Grad)

What you'll be doing• Develop and optimize core robotics algorithms across motion planning, navigation, and perception fusion "” including SLAM, sensor fusion for LiDAR, vision, and IMU• Implement kinematic and dynamic models for trajectory generation, force control, and robust operation in dynamic, unstructured environments• Integrate algorithms with real robot hardware, validate in simulation (ROS, Gazebo, MuJoCo, IsaacSim), and debug on physical humanoid platforms• Research and apply cutting-edge techniques in imitation learning, reinforcement learning, and vision-language-action models to advance robot autonomy and decision-making• Collaborate closely across mechanical, electrical, and software teams to drive research from prototype to deploymentWhat we need to see• BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field from a top-tier university "” graduating in 2025 or 2026• Proficiency in C++ and Python; hands-on experience with ROS/ROS2 and at least one simulation environment (Gazebo, MuJoCo, IsaacSim, or equivalent)• Solid theoretical foundations in robotics: kinematics, dynamics, control systems, optimization, and sensor processing• Practical experience in at least one of: motion planning, SLAM, perception, learning-based control, or hardware-software integration on real robots• Strong problem-solving skills and the drive to take projects from research to real-world deploymentWays to stand out• Publication(s) at top robotics or ML venues (ICRA, IROS, RSS, CoRL, NeurIPS, ICLR, CVPR, etc.)• Research experience in a top university robotics lab with real robot hardware deployment• Experience with learning-based approaches: imitation learning, reinforcement learning, diffusion policy, or VLA models• Hands-on experience with humanoid, legged, or mobile robot platforms• Background in large-scale AI model training and deployment in robotics contexts

Created: 2026-05-09