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Human Interactive Driving Research Intern, Platform Research

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 Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.


This is a summer 2025 paid 12-week internship opportunity with the HID team in the Platform Research department at TRI. Please note that this internship will be an in-office role based in Los Altos, CA.


The Team


The Human Interactive Driving 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.


The Internship


The HID 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. We are looking for a summer research intern in HQ to work on this effort, with the aim of approaching this as a research challenge for combining generative AI and human-factors research.


The individual will contribute to one or more high-level research focus areas:


- Procedural track generation using generative AI

- Dynamic content creation for CARLA-based driving simulator

- Driver skill assessment


The 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 and publishing the work.


The ideal individual should be able to distill high-level project goals into an actionable work plan, possess strong skills in generative AI, and have good knowledge of ROS2 and the CARLA driving simulator.


Prior experience in cyber-physical systems, human-subjects research, and data analysis is a plus.


Qualifications
  • Currently 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
  • Previous experience with human subjects or human-centric research
  • Prior experience in scientific Python, R, or similar statistical analysis tools


The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. Details of participation in 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.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

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$93600K
$135600K

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What You Should Know About Human Interactive Driving Research Intern, Platform Research, Toyota Research Institute

Join Toyota Research Institute (TRI) as a Human Interactive Driving Research Intern and be a part of our mission to improve the quality of human life! Based in our Los Altos, CA office, this summer 2025 paid 12-week internship is your opportunity to dive into exciting research within the innovative HID (Human Interactive Driving) team. At TRI, we're at the forefront of developing tools that enhance safety and the overall driving experience through advanced research in AI, robotics, and human-centered design. As an intern, you'll collaborate with a brilliant team of cognitive scientists, engineers, and designers to design advanced driving simulations tailored to individual skills and training needs. Your role involves developing generative AI techniques for procedural track creation, dynamic content for our CARLA simulator, and assessing driver skills. This hands-on position will see you working closely with cutting-edge technologies and contributing to high-level research that combines technology and human interaction. If you're pursuing a Ph.D. in a related field and have skills in generative AI, CARLA, and software development, we want to hear from you! Join us in shaping the future of mobility and making a real impact in the field of human interactive driving research.

Frequently Asked Questions (FAQs) for Human Interactive Driving Research Intern, Platform Research Role at Toyota Research Institute
What is the role of Human Interactive Driving Research Intern at Toyota Research Institute?

The Human Interactive Driving Research Intern at Toyota Research Institute (TRI) plays a crucial role in developing advanced driving simulations and assessment tools aimed at enhancing the quality of human life. This summer 2025 internship in our Los Altos, CA office offers the chance to work with a diverse and talented team to innovate in driver safety systems and human-centered AI.

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What qualifications do I need for the Human Interactive Driving Research Intern position at TRI?

To qualify for the Human Interactive Driving Research Intern position at Toyota Research Institute, candidates should be pursuing a Ph.D. in fields like Computer Science, Robotics, or Human-Robot Interaction. Experience with generative AI, CARLA driving simulator, game/simulation development, and strong software engineering skills in C++ or Python is highly desirable.

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What will my responsibilities be as a Human Interactive Driving Research Intern at TRI?

As a Human Interactive Driving Research Intern at TRI, you'll focus on developing generative AI for procedural track generation, creating dynamic content for simulations, and assessing driver performance. You'll collaborate with cross-functional teams, engage in hands-on project work, and contribute to groundbreaking research publications.

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Is the Human Interactive Driving Research Intern position at TRI paid?

Yes, the Human Interactive Driving Research Intern position at Toyota Research Institute is a paid internship. The expected pay range for this role starts between $45 and $65 per hour, based on relevant experience and location, alongside a generous benefits package.

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What kind of team will I collaborate with as a Human Interactive Driving Research Intern at TRI?

As a Human Interactive Driving Research Intern at Toyota Research Institute, you will work within a multidisciplinary team that includes cognitive scientists, software engineers, and UX/UI designers. This collaborative environment fosters innovative thinking and enhances the internship experience.

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Where is the Human Interactive Driving Research Intern role based?

The Human Interactive Driving Research Intern role at Toyota Research Institute is based in Los Altos, CA. This position requires you to work in an office setting, allowing for close collaboration with your team and access to state-of-the-art research facilities.

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What unique skills are valuable for the Human Interactive Driving Research Intern position at TRI?

Valuable skills for the Human Interactive Driving Research Intern position at Toyota Research Institute include expertise in generative AI, proficiency with the CARLA simulator, strong coding abilities in languages like Python or C++, and experience with human-centered research methodologies. Familiarity with ROS2 and multi-disciplinary teamwork also enhances your candidacy.

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Common Interview Questions for Human Interactive Driving Research Intern, Platform Research
Can you explain your experience with generative AI and how it applies to the role?

When answering this question, highlight your specific projects or coursework related to generative AI. Articulate how these experiences could contribute to developing procedural track generation for advanced driving simulations, showcasing your understanding of the technology and its potential applications.

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Describe your familiarity with the CARLA driving simulator.

For this question, detail any hands-on experience you've had with CARLA, including projects or simulations you've created. Discuss your approach to using CARLA for generating driving scenarios or assessing driver skills, emphasizing any innovative applications you've explored.

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What is your approach to collaborative projects in a multi-disciplinary team?

Outline your experience working on collaborative projects, highlighting how you communicate and coordinate with team members from different disciplines. Discuss specific examples where your teamwork skills contributed to project success, demonstrating your ability to thrive in a diverse working environment.

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How do you prioritize tasks and manage deadlines in a dynamic research environment?

Explain your time management strategies, such as using project management tools or establishing personal prioritization systems. Provide examples of how you've successfully met deadlines in a fast-paced or research-driven context, focusing on adaptability and efficient task prioritization.

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What got you excited about the opportunity to intern at TRI?

Share your personal motivations for applying to Toyota Research Institute, including your passion for improving human life through technology. Discuss specific aspects of the HID team’s mission and ongoing projects that attract you and how they align with your career goals.

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Can you discuss a time when you faced a challenge while working on a research project?

Choose a specific challenge from your research experience and describe how you approached it. Focus on your problem-solving skills, the steps you took to overcome the challenge, and what you learned from the experience, illustrating your ability to navigate research-related complexities.

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What methods would you use to assess driver performance?

Discuss various methods for assessing driver performance, such as analyzing simulation data, collecting feedback from driving assessments, or utilizing machine learning models to score driver skills. Emphasize the importance of a comprehensive evaluation that combines qualitative and quantitative data.

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What programming languages are you most proficient in, and how would they aid your internship at TRI?

Highlight your proficiency in programming languages relevant to the role, such as Python or C++. Explain how your skills would aid in developing software solutions or algorithms during your research internship, showcasing your technical expertise.

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How familiar are you with ROS/ROS2, and how have you applied them in your projects?

Describe your experience with ROS/ROS2, detailing specific projects where you've utilized these platforms for robotic systems. Explain how this experience will help you contribute effectively to the research goals at Toyota Research Institute.

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How do you ensure your research findings are clearly communicated for publication?

Discuss your strategies for clear and concise communication of research findings, including writing drafts, utilizing feedback from peers, and focusing on visual aids like graphs and charts. Emphasize the importance of making complex ideas accessible to varied audiences.

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TRI's mission is to improve the quality of human life through advances in artificial intelligence, automated driving, and robotics.

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Internship, on-site
DATE POSTED
November 24, 2024

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