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 physics simulation; Hands-on experience with deploying and debugging neural network models on robotic hardware; Expertise at reinforcement learning and neural network training; Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment; Contributions to popular open-source simulation frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL. What we need to see: Bachelor's degree or above in Computer Science, Robotics, Engineering, or a related field; 10+ years of full-time industry experience on robotics and/or physics simulation; Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.