Member Of Technical Staff - Hardware Science, Frontier AI & Robotics (FAR)

What you'll do

• Lead robotics research and full-stack projects spanning robot co-design, manipulation, motor control, sensing, reinforcement learning, and sim-to-real transfer.
• Develop and optimize algorithms and sensing pipelines, integrating actuator dynamics, sensors, and electromechanical constraints with learned models.
• Collaborate with hardware and engineering teams to validate and deploy solutions on physical robots.

What they ask for

• PhD or equivalent research experience, or a Master's degree and 4+ years of CS, CE, ML or related field experience.
• Programming experience in Java, C++, Python or a related language.
• Experience with hardware design, low-level motor/actuator control, state estimation, system identification, or complex electromechanical systems; and experience developing deep learning models for physical systems.
• Publications or patents at top-tier peer-reviewed conferences or journals.

Nice to have

• Impactful first-author publications at major or top-tier Robotics/ML/AI conferences.
• Experience with sim2real transfer, actuator modeling, or multi-task learning on physical robotic platforms; production deployment of ML models on robotic hardware is also valued.

Tools

Java, C++, Python, PyTorch, JAX, CAN, EtherCAT, RS-485

AI focus

Research and develop multimodal robotic foundation models and learned systems for perception, manipulation, and control, with a focus on physical hardware deployment.