Senior AI Architect

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. This role focuses on physical AI, diffusion-based policy learning, optimal control, robot manipulation, perception, planning, and hardware-integrated autonomy systems. 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.

This is a rare opportunity for a senior robotics and AI leader who wants to bridge cutting-edge research with real-world deployment. The company is looking for someone who can architect production-ready autonomy systems that combine modern AI techniques with robust robotic control and hardware integration. 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.

If you thrive on solving difficult physical-world problems and measuring success through deployed systems rather than research papers, this role offers exceptional ownership, visibility, and impact.

• 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

• Experience deploying robot manipulation and warehouse automation systems
• Expertise in score‑based generative models, behavior cloning, or learning‑based planning systems
• Experience with actuator controls, embedded systems, and hardware/software co‑design
• Familiarity with FPGA‑based compute architectures
• Experience scaling and mentoring high‑performing robotics engineering teams
• Strong understanding of system observability, fault tolerance, and operational reliability
• Experience working within startup or high‑growth robotics organizations
• Background in logistics, warehouse automation, or industrial robotics preferred

• 35% Physical AI Architecture & Technical Strategy
• 30% Robotics AI & Autonomy Development
• 20% Hardware Integration & System Optimization
• 15% Technical Leadership & Mentorship

• 60% Hands On
• 20% Technical Leadership
• 20% Team Collaboration

• Bonus eligible
• Equity eligible

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

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