Physical Artificial Intelligence Architect - AI

The Role

We are seeking a Physical AI Architect to lead the development of our next-generation robotic autonomy systems. This role combines deep expertise in machine learning, robotics, perception, planning, and controls with the practical experience required to deploy AI-powered systems onto production hardware.

Required Skills & Experience

• MS or PhD in Robotics, Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• 8+ years of experience developing robotics, autonomy, or AI-powered systems
• Demonstrated history of deploying AI solutions into production robotic hardware
• Deep expertise with diffusion models and modern robot learning techniques
• Strong background in optimal control, Model Predictive Control (MPC), trajectory optimization, and feedback control systems
• Experience combining machine learning with traditional robotics planning and control architectures
• Strong Python and C++ programming skills
• Experience with ROS2 or equivalent robotics middleware
• Hands-on experience integrating sensors, embedded compute platforms, and robotic actuators
• Experience deploying AI models under real-time performance constraints
• Excellent communication and technical leadership skills

Desired Skills & Experience

• Experience with diffusion policies, score-based generative models, and behavior cloning
• Experience deploying AI models on NVIDIA Jetson, ARM-based platforms, GPUs, or edge computing devices
• Experience with RGB-D cameras, force/torque sensors, encoders, and multi-modal sensor fusion
• Familiarity with reinforcement learning and imitation learning
• Experience optimizing inference latency and real-time robotic performance
• Strong systems engineering mindset with experience designing highly reliable autonomous systems
• Previous experience mentoring senior engineers or leading technical initiatives

What You Will Be Doing

• Arcitect the company's next-generation Physical AI platform spanning perception, planning, and robotic controls
• Lead development of diffusion-based policy learning solutions for robotic manipulation and automation
• Design autonomous systems that combine modern AI approaches with classical control algorithms
• Define technical strategy for integrating machine learning into production robotic systems
• Collaborate with perception, controls, firmware, mechanical, and embedded engineering teams to optimize complete robotic solutions
• Drive hardware integration across sensors, embedded compute, and actuator platforms
• Improve system throughput by optimizing model inference, planning performance, and hardware execution
• Evaluate emerging AI technologies and determine practical applications for production robotics
• Mentor senior engineers and establish technical best practices across autonomy development
• Help shape the long-term AI and robotics roadmap for future product generations

Tech Breakdown

• 35% AI & Robot Learning (Diffusion Models, ML)
• 25% Robotics Planning & Optimal Control
• 20% Software Architecture & Systems Design
• 10% Hardware Integration & Embedded Systems
• 10% Technical Leadership & Mentorship

Daily Responsibilities

• 50% Hands-On AI & Robotics Development
• 20% Architecture & Technical Strategy
• 15% Cross-Functional Engineering Collaboration
• 10% Performance Optimization & Hardware Integration
• 5% Mentoring & Technical Leadership

The Offer

• Competitive base salary plus bonus and equity potential
• Comprehensive medical, dental, and vision insurance
• 401(k) with company contribution
• Unlimited PTO and paid holidays
• Opportunity to work on cutting-edge AI-powered robotics deployed in real-world production environments
• Collaborative engineering culture with significant technical ownership
• Career growth within a rapidly scaling, venture-backed robotics company