INTERNSHIP DETAILS

Human Interactive Driving Intern, Platform Research

CompanyToyota Research Institute
LocationLos Altos
Work ModeOn Site
PostedDecember 17, 2025
Internship Information
Core Responsibilities
The intern will be responsible for procedural track generation using generative AI and dynamic content creation for a CARLA-based driving simulator. They will also contribute to driver skill assessment and the development of models that characterize driver behavior.
Internship Type
intern
Salary Range
$45 - $65
Company Size
453
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
At Toyota Research Institute (TRI), we’re conducting research to amplify human ability, focusing on making our lives safer and more sustainable. Led by Dr. Gill Pratt, TRI’s team of researchers develops technologies to advance automated driving, energy and materials, human-centered artificial intelligence, human interactive driving, large behavior models, and robotics. 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 will: - 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. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology 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 holds 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 start-up environment with brilliant people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.
About the Role

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 in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.


This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. Our driving simulator is physically located there and the intern is expected to test and deploy software on the platform, as well as collaborate with other researchers.


The Team


The Human Interactive Driving (HID) Research group is focused on designing the future of advanced safety systems, pushing the envelope of safety, driver experience, and automation. Our team consists of cognitive scientists, computer scientists, software engineers, mechanical and electrical engineers, vehicle dynamics experts, designers, and more. We leverage multiple simulation and physical platforms to explore novel interfaces, algorithms, and safety technologies.


Our group is developing next-generation training and assessment tools for performance driving and beyond. We are looking into expanding our driving simulation technology by generating novel driving courses, including layout and other features, based on individual drivers’ skill levels, past performance, and long-horizon strategy development. These tracks may also be used to train autonomous and shared autonomy artificial agents


The Internship


We are looking for a 2026 summer research intern in our Los Altos HQ to work on this effort, with an aim of approaching this as a research challenge for combining generative AI and human-factors research. This intern will be expected to work hands-on with a physical simulation system, create working code prototypes, interact frequently with team members, transfer code, design validation experiments, and participate in writing a paper describing the findings, as well as publishing the work.


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Responsibilities
  • Procedural track generation using generative AI, involving the design and implementation of new or extended generative methods to create novel driving environments. 
  • Dynamic content creation for our CARLA-based driving simulator, integrating AI-driven or algorithmic content into interactive simulation systems such as CARLA, Unreal, or similar platforms. 
  • Driver skill assessment, contributing to the development and validation of models that characterize driver behavior, measure performance, and support human-centered evaluation.


Qualifications
  • Currently at-least second year pursuing a Ph.D. in Computer Science, Robotics, Human-Robot Interaction, or related fields.
  • Experience in generative AI, whether LLMs with non-language tokens or diffusion models.
  • Game development experience: Unreal, Unity, Godot, etc. and/or simulation development experience: CARLA, Sumo, Gazebo, AirSim, etc.
  • Strong software engineering skills (C++/Python preferred) and analysis/debugging robotic systems.
  • Experience working in a shared codebase with multiple collaborators and reviewing others’ code.
  • Strong written and oral communication skills.
  • Experience in working in multi-disciplinary teams. You will be working cross-functionally with UX/UI designers, human-factors researchers, and cognitive scientists.
  • Must have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment.


Bonus Qualifications
  • Prior experience in ROS / ROS2.
  • Prior experience with human subjects or human-centric research.
  • Prior experience in scientific Python, R, or similar statistical analysis tools


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The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles, and between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. 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.

Key Skills
Generative AIGame DevelopmentSimulation DevelopmentSoftware EngineeringC++PythonDriver Skill AssessmentHuman-Centered EvaluationCollaborationCommunicationRobotic SystemsMulti-Disciplinary TeamsCode ReviewDynamic Content CreationAlgorithmic ContentPerformance Measurement
Categories
TechnologyEngineeringScience & ResearchData & AnalyticsTransportation
Benefits
Medical InsuranceDental InsuranceVision InsurancePaid Time Off