A rapidly growing robotics and warehouse automation company in the Greater Boston area is hiring a full-time Physical AI Architect to lead the development of next-generation AI systems deployed on real-world robotic platforms. The position offers the opportunity to define the technical vision for AI-driven robotics while working directly with production hardware, advanced machine learning models, and high-throughput warehouse automation systems. You’ll have direct influence over the future of the autonomy stack, mentor senior engineers, and help shape the long-term technical roadmap of a rapidly scaling robotics organization. Proven experience deploying AI-powered robotic systems into production environments MS or PhD in Robotics, Computer Science, Artificial Intelligence, or related field, or equivalent industry experience Deep expertise in diffusion models and diffusion-based policy learning for robotics applications Strong knowledge of optimal control theory, model predictive control (MPC), trajectory optimization, and feedback control systems Experience architecting end-to-end robotic autonomy systems including perception, planning, and control Hands-on experience integrating AI systems with physical robotic hardware Experience with sensor technologies including RGB-D cameras, force/torque sensors, encoders, and related systems Experience with embedded compute platforms such as NVIDIA Jetson, ARM-based systems, or similar hardware Strong programming skills in Python and C++ Experience with ROS 2 or similar robotics middleware frameworks Strong understanding of real-time robotic systems and performance optimization Excellent communication and technical leadership skills You Will Receive The Following Benefits
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