Senior Research Engineer, Robotics Systems

What you'll do

• Design and maintain low-latency teleoperation software and optimize locomotion, manipulation, and whole-body control.
• Deploy and evaluate neural network models in physics simulations and on real humanoid hardware; support model training, data processing, and MLOps.
• Maintain and troubleshoot robotic systems, and develop diagnostics and quality assurance workflows for reliable hardware and data collection.

What they ask for

• Bachelor’s Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience.
• 8+ years of full-time industry experience in robotics hardware or software full-stack.
• Hands-on experience deploying and debugging neural network models on robotic hardware; ability to implement real-time control algorithms, teleoperation stack, and sensor fusion.
• Proficiency in languages such as Python, Rust, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.).

Nice to have

• Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field.
• Experience in autonomous driving or humanoid robotics on real hardware, robot hardware design, technical leadership, open-source robotics frameworks, or top-tier conference publications.

Pay

184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)

Tools

Python, Rust, C++, ROS, Gazebo, Mujoco, Isaac

AI focus

Deploy and evaluate neural network models on simulated and real humanoid robots, and collaborate on model training, data processing, and the full MLOps lifecycle.