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We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world! We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive. Our Purpose: 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. Opportunity Overview: At Teradyne, our Cooperative Education and Internship program is designed to deliver meaningful, fast paced and real-life work experiences that are relevant to your career and academic goals. Our program offers practical work experience in a business environment, with the opportunity to contribute and add value to the organization. We’re looking for a practical, hands-on Robotics & Physical AI Intern to join our AI Partnerships team in North Reading for Summer 2026. You’ll work at the intersection of real robot hardware and modern physical AI workflows—building experimental setups, collecting high-quality robot data, and running baseline model training pipelines that support our strategic AI partnerships. This is a robotics-first role: you will spend significant time working directly with hardware in the lab, while also using Linux and Python tools to transform raw data into training-ready datasets and initiate model training and evaluation runs. You will contribute directly to real-world robotics deployments and data generation efforts that power next-generation industrial AI systems.
Job Responsibility
Hands-on robotics & lab execution: Mechanically assemble, modify, and maintain robotic workcells, including fixturing, mounting, cable management, and end-effector integration
Bring up, test, and troubleshoot sensors and robot subsystems, including basic calibration and validation of repeatability
Execute structured robot data-collection runs using defined protocols and scripts
Maintain clean, reproducible lab environments and experimental setups
Data pipelines & physical AI workflows: Use Linux and Python to ingest, clean, synchronize, and package multimodal robot datasets (images, video, robot state, timestamps)
Develop simple tools for dataset validation, QA, and visualization
Prepare datasets for training workflows, including formatting, filtering, and basic annotation support
Launch and monitor model training and evaluation jobs using provided pipelines and tools
Collaboration & documentation: Work closely with robotics and AI engineers to debug issues and improve data collection workflows
Document experimental setups, procedures, datasets, and results to ensure reproducibility
Contribute to continuous improvement of lab processes and tooling
Requirements
Currently pursuing a BS or MS in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field
Strong hands-on mechanical skills (experience with assembly, tools, hardware integration, or lab systems)
Comfortable working in Linux environments (CLI, file systems, basic troubleshooting)
Strong Python programming skills for scripting and data processing
Strong problem-solving skills with a practical, execution-focused mindset
Ability to work independently in a lab environment while collaborating with a broader team
Familiarity with ROS2 or robotics software frameworks
Exposure to machine learning frameworks such as PyTorch or TensorFlow
Experience working with sensors, cameras, or data collection system
Experience with dataset handling, labeling, or data engineering workflow
Familiarity with Docker or basic MLOps practice
Interest in robot manipulation, perception, or autonomy problems
Nice to have
Familiarity with ROS2 or robotics software frameworks
Exposure to machine learning frameworks such as PyTorch or TensorFlow
Experience working with sensors, cameras, or data collection system
Experience with dataset handling, labeling, or data engineering workflow
Familiarity with Docker or basic MLOps practice
Interest in robot manipulation, perception, or autonomy problems
What we offer
Real-world experience working with industrial robotic systems
Exposure to the intersection of robotics and modern AI systems
Mentorship from experienced robotics and AI engineers
Hands-on contributions to production-relevant robotics and data generation projects
A strong portfolio of practical robotics and AI work