Director of Engineering, Physical AI

Job description

Job responsibilities

• Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research
• Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture…
• Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in
• Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities
• Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads

Job requirements

• Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field
• 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentoring, and developing high-performing technical teams through rapid…
• Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred
• Deep fluency in the ML development lifecycle — training pipelines, data flywheels, and evaluation frameworks as systems you've built and owned
• Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)
• Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail
• Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity across technical and executive audiences