Staff Roboticist

Your Opportunity

Chewy Robotics is seeking a Staff Roboticist to join our Physical AI research and development team in Woburn MA. As a senior individual contributor you will lead the creation and deployment of robotic systems and AI algorithms that enable bi-manual manipulation of heavy deformables touch-augmented vision-language-action (VLA) model training and whole-body control and reinforcement learning for humanoid robots. You will serve as a technical authority in control systems perception and integrated robotic architectures that advance Chewys efforts to build the next generation of physical AI.

As a Staff Roboticist you will operate as a top-level subject matter expert and architect exhibiting broad technical influence and leadership without formal authority. This role owns the short- to mid-term execution of research strategy within the Physical AI domain translating complex ambiguous problems into scalable robotic solutions. The successful candidate demonstrates mastery across robotics system design algorithm development and experimental validation while mentoring junior engineers and shaping technical direction across multiple teams. While not a people leader the Staff Roboticist plays a critical role in guiding Chewys robotics research strategy and ensuring cross-functional alignment between AI scientists controls engineers and product stakeholders.

What Youll Do

• Lead the research design and development of control architectures for humanoid and multi-agent robotic systems integrating vision force touch and learning-based approaches
• 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 contributing to the state of the art in physical AI
• Provide technical mentorship and review designs and experiments conducted by junior engineers and research assistants
• Act as a bridge between AI mechanical electrical and controls disciplines ensuring that integrated systems perform reliably and are grounded in sound engineering principles

What Youll Need

Bonus Points

Required Experience :

Staff IC

Key Skills

Bidding,Fund Management,Gallery,Hotel Front Office,Airlines,Arabic

Employment Type : Full-Time

Experience : years

Vacancy : 1