Physical AI Architect

Experience integrating sensors (RGB-D cameras, force/torque sensors, encoders), embedded computing (NVIDIA, Jetson, ARM SoCs, FPGAs), and robot actuators. Hands-on expertise with diffusion policy learning, score-based generative modeling, MPC, trajectory optimization, and robust feedback control.

This client is developing solutions for high-throughput logistics using advanced AI, robotics, and real-time hardware integration. They are looking to hire a Physical AI Architect that can go onsite 4 days per week in Boston. In this position, you'll have the opportunity to shape the next generation of physical AI platforms. This role is a blend of technical depth and hands-on building. This is a full time position.

Required Skills & Experience

• Advanced degree in Robotics, Computer Science, or similar, or equivalent industry accomplishment
• Demonstrated experience bringing AI-enabled hardware solutions into production environments.
• Deep knowledge of diffusion-based models for robotics and optimal control concepts
• Hands-on expertise with diffusion policy learning, score-based generative modeling, MPC, trajectory optimization, and robust feedback control
• Experience integrating sensors (RGB-D cameras, force/torque sensors, encoders), embedded computing (NVIDIA, Jetson, ARM SoCs, FPGAs), and robot actuators
• Proficiency with Python and C++
• Familiarity with modern robotics middleware (ROS 2 or similar)

What You Will Be Doing
Tech Breakdown

• 40% Diffusion-based learning and model deployment
• 30% Optimal control, trajectory optimization, and motion planning
• 30% Hardware-software integration

Daily Responsibilities

• 80% Hands On
• 10% Management Duties
• 10% Team Collaboration

The Offer
You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Paid Time Off
• 401k

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.