Lead a team of AI engineers focused on developing and deploying physical AI robotic solutions in industrial automation.
Lead the development and deployment of physical AI capabilities that enable robots to navigate, manipulate, and interact with their environments with unprecedented intelligence.
Help engineer solutions that leverage diverse sensor modalities—from RGBD cameras and LiDAR to Time-of-Flight sensors—making informed trade-offs based on performance, cost, and application requirements.
Take AI innovations from concept through production deployment and ongoing customer support.
Promote engineering excellence and best practices across the team.

Lead the development of physical AI solutions including obstacle detection, object identification and classification, pose estimation, SLAM technologies and localization systems.
Develop and leverage simulation (leveraging NVidia's Issac Sim and Cosmos) as a tool to aid engineering, training data generation and test development.
Drive technical decisions around sensor selection and integration (RGBD cameras, LiDAR, ToF sensors, and more) based on application requirements and performance trade-offs.
Ensure robust integration of AI functionality into existing robotic software stacks.
Manage and develop a team of AI engineers, providing technical mentorship and career guidance.
Foster a collaborative team environment focused on delivering full-stack solutions, not just isolated algorithms.
Ensure solutions meet the reliability and robustness requirements of industrial environments.
Work closely with R&D teams at Universal Robots and Mobile Industrial Robots.

Technical Engineering Manager, Physical AI Solutions

Key skills