Physical AI Architect

You will own the end-to-end architecture of perception, planning, and control systems on production hardware. You will apply diffusion-based policy learning and optimal control to manipulation tasks, define the technical roadmap, integrate sensors, compute, and actuators, resolve hardware and model-performance bottlenecks, and mentor senior engineers.

Responsibilities

• Serve as technical architect for perception, planning, and control systems deployed on production hardware
• Lead the application of diffusion-based policy learning and optimal control to robot manipulation and picking tasks
• Define the technical roadmap for diffusion models and optimal control
• Drive hardware integration across sensors, compute, and actuators
• Identify and resolve bottlenecks in model inference, motion execution, and hardware throughput
• Mentor senior engineers

Requirements

• Track record of shipping AI-powered systems to production
• Expertise in diffusion models for robot learning
• Command of optimal control theory and practice, including MPC, trajectory optimization, and feedback control
• Experience with sensor pipelines, embedded compute, and actuator interfaces
• Proficiency in Python and C++
• Familiarity with ROS 2 or equivalent robotics middleware
• Experience with real-time systems constraints and learned-model deployment on robot hardware
• Systems-level design for maintainability, observability, and failure modes
• Ability to drive technical decisions across cross-functional teams

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Unlimited vacation
• Paid federal and state holidays
• 401(k) contributions of 5% of salary
• Company-covered travel expenses