🛠 Tech Stack

💼 About This Role

You'll lead the design of perception, planning, and control systems for warehouse robots, bridging diffusion models with optimal control to ship reliable AI into production hardware. This role stands out for its focus on closing the research-to-reality gap in high-throughput logistics.

🎯 What You'll Do

• Architect end-to-end AI stack for robot perception, planning, and control.
• Lead application of diffusion-based policies and optimal control to manipulation tasks.
• Drive hardware integration across sensors, compute, and actuators.
• Define technical roadmap for combining diffusion models and optimal control.

📋 Requirements

• MS or PhD in Robotics, CS, or equivalent shipped products.
• Shipped AI-powered systems to production (not just prototyped).
• Deep expertise in diffusion models for robot learning (e.g., diffusion policies).
• Strong command of optimal control (MPC, trajectory optimization, feedback control).

✨ Nice to Have

• Experience with real-time systems constraints.
• Proficiency in Python and C++; familiarity with ROS 2.
• Experience with hardware integration (RGB-D, force/torque, NVIDIA Jetson).

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview with Hiring Manager· 60 min
3. 3System Design / Architecture Interview· 60 min