Robotics Intern, Mechanical Engineering

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

This is a paid 12-week internship opportunity and is a hybrid, in-office role.

Here’s a glimpse into the Internship experience from some of our TRI interns!

We are looking for a Mechanical Engineering Intern to contribute to our robot hardware development and testing group. The intern who joins our team will be responsible for the design, fabrication, ordering, and assembly of robotic systems and test spaces, including both structural and electromechanical components. Responsibilities include working closely across disciplines with team members to define project requirements and support project needs (e.g. rapid iteration on robot component designs, maintenance and repair of robotic systems), and ensure the robotic lab remains safe, clean, and effective. The intern will also plan, execute, document, and communicate testing activities, providing clear and accurate reporting of test conditions and results. Occasional travel may be required, and additional responsibilities may be assigned as needed.

Qualifications

• Engineering student (undergrad or master's) with a hardware-oriented concentration.
• Understanding of common mechanical components and robot sensors.
• Experience using common rapid prototyping techniques and equipment (3D printers, laser cutters, hand tools, etc).
• Solid fundamentals with mechanical CAD software (e.g. Onshape or SolidWorks).
• Experience designing, executing, and summarizing system tests.
• Desire to deploy and test robots both inside and outside of the lab.
• Willingness to communicate and ask questions when in doubt.

Bonus Qualifications

• Experience designing for small-scale contract manufacturing and assembly.
• Electronic assembly skills (crimping, soldering, and wire routing) and debugging experience.
• Programming experience in MATLAB, Python, C++, or similar.
• Demonstrable communication skills, written and verbal, including utilization of design documents and systems drawings.

The pay range for this position at commencement of employment is expected to be between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.