Senior AI/ML Engineer, Physical AI Solutions (UR & MiR, North Reading, MA)

Teradyne•North Reading, MA

8d•$219,800 - $351,700•Hybrid

About The Position

We are seeking an exceptional Senior AI/ML Engineer to join our advanced Physical AI engineering team at the forefront of industrial robotic innovation. This role sits at the intersection of cutting-edge AI technology and real-world product deployment, where you'll help define what's possible in physical AI for both autonomous mobile robots (AMRs) and industrial robotic arms. Our team is building differentiating solutions that push the boundaries of what robots can perceive, understand, and interact with in dynamic real-world environments. You'll work alongside world-class engineers to deliver full-stack AI solutions that don't just work in simulation—they thrive in our customers' facilities. Teradyne Robotics is transforming industrial automation through intelligent robotic solutions. Our portfolio includes Universal Robots (UR), the global leader in collaborative cobots, and Mobile Industrial Robots (MiR), pioneers in autonomous mobile robots. Together, we're building the future of flexible, intelligent automation for manufacturing and logistics environments worldwide. You'll lead 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 technologies, and precision localization systems. Working across our platform for simulation and data generation, you'll 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. You'll be responsible for taking AI innovations from concept through production deployment and ongoing customer support. As a senior member of the team, you'll collaborate closely with R&D teams at Universal Robots and Mobile Industrial Robots, helping shape the future of collaborative robotics and autonomous mobile platforms across the Teradyne Robotics portfolio. Critical to this role: You must approach your work with scientific rigor. This means deeply understanding the performance characteristics, quality metrics, and limitations of every model you build. You'll need to systematically analyze how successive training runs impact these qualities, maintaining clear visibility into what's improving, what's regressing, and why. We build solutions our customers trust, and that trust is earned through rigorous validation and honest assessment of capabilities and boundaries. You'll be joining a team that's already delivered mature platforms for simulation and data generation across multiple problem domains. We're not just building technology for tomorrow—we're deploying it today, solving real problems for customers in industrial automation while continuously pushing the state of the art. At Teradyne Robotics, you'll have the unique opportunity to impact both mobile robotics and collaborative manipulation platforms used by thousands of customers worldwide. If you're energized by the challenge of making advanced AI work reliably in the physical world, we want to hear from you.

Requirements

Deep understanding of sensor technologies (RGBD, LiDAR, ToF, etc.) and the ability to architect solutions that leverage their respective strengths and limitations.
Experience shipping AI-powered products to market and supporting them in production customer environments.
Good software engineering fundamentals with experience integrating AI/ML capabilities into existing robotics software stacks.
Expertise in data science and data engineering.
Collaborative mindset with experience working in cross-functional teams building complete systems, not just isolated algorithms.
Demonstrated ability to rigorously evaluate ML model performance, establish meaningful metrics, and track quality across training iterations.
Experience utilizing simulation environments to accelerate engineering and validation workflows.
Core robotics AI concepts: obstacle detection, object identification and classification, pose estimation.
Understanding of various SLAM approaches and their trade-offs.
Knowledge of localization techniques from precision to relative positioning.
Experience working with both robotic manipulators and mobile platforms.
Hands-on experience with NVIDIA Isaac platform and tools.
Background working with AMRs or industrial robotic arms in production settings.
Knowledge of and interest in the emerging field of Vision-Language-Action (VLA) models and their application to robotics.
Contributions to robotics or AI research communities.

Responsibilities

Lead the development and deployment of physical AI capabilities that enable robots to navigate, manipulate, and interact with their environments with unprecedented intelligence.
Advance work in obstacle detection, object identification and classification, pose estimation, SLAM technologies, and precision localization systems.
Engineer solutions leveraging diverse sensor modalities (RGBD cameras, LiDAR, Time-of-Flight sensors) using simulation and data generation platforms.
Make informed trade-offs based on performance, cost, and application requirements.
Take AI innovations from concept through production deployment and ongoing customer support.
Collaborate closely with R&D teams at Universal Robots and Mobile Industrial Robots to shape the future of collaborative robotics and autonomous mobile platforms.
Approach work with scientific rigor, deeply understanding performance characteristics, quality metrics, and limitations of every model.
Systematically analyze how successive training runs impact model qualities, tracking improvements and regressions.
Rigorously evaluate ML model performance, establish meaningful metrics, and track quality across training iterations.
Utilize simulation environments to accelerate engineering and validation workflows.