Technical Engineering Manager, Physical AI Solutions

Technical Engineering Manager, Physical AI Solutions (UR & MiR, North Reading, MA)

Location:

North Reading, MA, US

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

We're seeking a Technical Engineering Manager to lead a team of AI engineers focused on developing and deploying physical AI robotic solutions in industrial automation. This role sits at the intersection of cutting‑edge AI technology and practical product engineering, requiring someone who can balance innovation with the reliability demands of our customers. You will lead a team responsible for the development and deployment of physical AI capabilities that enable robots to navigate, manipulate, and interact with their environments with unprecedented intelligence.

This includes advancing our work in obstacle detection, object identification and classification, pose estimation, SLAM, and precision localization systems leveraging AI and ML technologies. You will work in both the autonomous mobile robots and collaborative robot arms space.

This position requires strong technical expertise combined with proven leadership abilities to guide your team through the complete development lifecycle—from concept to customer deployment.

• 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 (NVIDIA Isaac Sim and Cosmos) as a tool to aid engineering, training data generation, and test development.
• Drive technical decisions around sensor selection and integration (RGBD, LiDAR, ToF) based on application requirements and performance trade‑offs.
• Ensure robust integration of AI functionality into existing robotic software stacks.
• Guide data science and engineering efforts, recognizing that high‑quality training and evaluation data is fundamental to successful AI/ML solutions.

• 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.
• Build team capabilities through hiring, training, and continuous skill development.
• Promote engineering excellence and best practices across the team.

• Take ownership of features from conception through market launch and post‑deployment customer support.
• Apply project management skills to plan, track progress, identify risks, and ensure successful execution.
• Ensure solutions meet the reliability and robustness requirements of industrial environments.
• Balance cutting‑edge innovation with practical engineering constraints.

• Work closely with R&D teams at Universal Robots and Mobile Industrial Robots.
• Collaborate with hardware, software, product management, and customer success teams.
• Communicate technical concepts and progress effectively to both technical and non‑technical stakeholders.
• Contribute to the broader technical strategy for physical AI across the organization.

• Sensor Technologies:
  Deep understanding of RGBD cameras, LiDAR, Time‑of‑Flight sensors, and practical trade‑offs in robotic applications.
• Simulation
  
  Experience:
  
  Proven track record utilizing simulation to support engineering development and testing efforts.
• Physical AI Domain Knowledge:
  Hands‑on experience with obstacle detection and avoidance, object identification and classification, SLAM (visual, LiDAR, multi‑sensor fusion), global and relative localization methods, and NVIDIA Isaac platform.
• Familiarity with Vision‑Language‑Action (VLA) models and their…