Staff Roboticist
Staff Roboticist
Chewy, Inc.
Chewy Robotics is looking for a Staff Roboticist to join their Physical AI research and development team in Woburn, MA. The role involves leading the creation and deployment of robotic systems and AI algorithms, focusing on bi-manual manipulation, vision-language-action model training, and humanoid robot control. The successful candidate will act as a technical authority, guiding research strategy and mentoring junior engineers while collaborating with cross-functional teams.
Qualification
- Mastery in robotics system design and algorithm development.
- Experience with control systems, perception, and integrated robotic architectures.
- Proficiency in reinforcement learning and imitation learning frameworks such as PyTorch or TensorFlow.
- Familiarity with simulation environments like Isaac Lab, Gazebo, or Mujoco.
- Strong background in control theory and modeling tools like MATLAB/Simulink.
- Ability to mentor junior engineers and shape technical direction across teams.
- Experience in authoring and publishing research results in peer-reviewed journals.
Responsibility
- Lead the research, design, and development of control architectures for humanoid and multi-agent robotic systems.
- Develop and implement advanced algorithms for dynamic control, manipulation, and interaction with deformable objects.
- Design and prototype real-time control systems, simulation pipelines, and model-based controllers for robotic platforms.
- Utilize modern simulation and training environments such as Isaac Lab or Gym for robot learning, and Isaac Sim, Gazebo, or Mujoco for robotic system modeling and validation.
- Collaborate with scientists to develop reinforcement learning and imitation learning pipelines for dexterous manipulation and whole-body coordination, leveraging frameworks such as PyTorch or TensorFlow.
- Apply control theory and modeling tools such as MATLAB/Simulink for control system design, system identification, and validation.
- Contribute to the architecture and deployment of distributed robotic systems, including communication frameworks for heterogeneous robot fleets.
- Author and publish results in peer-reviewed journals and conferences.
