Serve as the technical architect for Pickle Robot's Physical AI stack
Lead the application of diffusion-based policy learning and optimal control techniques to robot manipulation
Drive hardware integration efforts across sensors, compute, and actuators
Define the technical roadmap for how diffusion models and optimal control complement each other
Partner with firmware, mechanical, and software engineering teams
Identify and resolve performance bottlenecks
Mentor senior engineers and help grow the technical depth of the broader autonomy team

Demonstrated track record of shipping AI-powered systems to production
MS, or PhD in Robotics, Computer Science or a related field, or equivalent demonstrated expertise through shipped products
Deep subject matter expertise in diffusion models applied to robot learning
Strong command of optimal control theory and practice
Practical understanding of how diffusion-based learning and optimal control approaches are complementary
Hands-on experience with hardware integration
Proficiency in Python and C++
Experience with real-time systems constraints
Strong systems-level thinking
Excellent communication skills
Willing to work in the office from our Charlestown, MA location at least three days per week

Physical AI Architect

Key skills