2021 Research / Engineering Intern

Los Altos, CA; Cambridge, MA; Ann Arbor, MI /
University – Engineering Intern /
At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll help…

- Develop vehicles incapable of causing a crash, regardless of the actions of the driver.
- Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.
- Bring advanced mobility technology to market faster.
- Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful.
- Develop human-centered AI systems to augment (not replace) human decision making to increase the quality of decisions (e.g. mitigate cognitive biases) and/or to facilitate faster innovation cycles.

Our work is guided by a dedication to safety – in both what we research and how we perform our research our goal is to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!

We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun environment with forward-thinking people who enjoy solving tough problems and the financial backing to successfully achieve our goals. If you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources, we would be enthused to have you join our Summer 2021 Internship Program. Our program allows you to work on real projects that will contribute to saving and improving lives. With the support of a collaborative environment, each intern will have his/her own dedicated mentor and access to our senior leadership team.  


    • Work with your mentor as part of a team to research and develop algorithms, software tools and user experience designs for autonomous systems
    • Perform basic research and development on component technologies for machine learning, perception/computer vision, controls, planning, and simulation
    • Extend the boundaries of scientific understanding in your CS field
    • Seek opportunities to publish research findings in top scientific conferences.


    • BS, MS, PhD Degree
    • Research and project work that is closely aligned with the areas of interest to TRI
    • Open, inquisitive and humble - learning from others while contributing to the research community
    • Creative thinker and innovator, with a strong desire to see research discoveries brought to life in new products and services
    • Proven software engineering skills (preferably in C++ in a Linux environment) and experience with software engineering tools/environments (git)
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 provides Equal Employment Opportunity without regard to the 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.