Robotics & Physical AI Intern, Summer 2026 (Teradyne, North Reading, MA)

TeradyneNorth Reading, MA
$26 - $47Onsite

About The Position

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.

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

Nice To Haves

  • 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

Responsibilities

  • 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

Benefits

  • 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
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