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.
Required Skills & Experience
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
Desired Skills & Experience
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
What You Will Be Doing
Tech Breakdown
35% Physical AI Architecture & Technical Strategy
30% Robotics AI & Autonomy Development
20% Hardware Integration & System Optimization
15% Technical Leadership & Mentorship
Daily Responsibilities
60% Hands On
20% Technical Leadership
20% Team Collaboration
The Offer
Bonus eligible
Equity eligible
You will receive the following benefits:
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10105282
- Position Id: 878731
- Posted 30+ days ago
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