Toyota Research Institute

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.

Listed Jobs

Company Name

Toyota Research Institute

Job Title

Future Product Innovation Research Intern, HCI Creativity

Job Description

**Job Title:** Future Product Innovation Research Intern, HCI Creativity **Role Summary:** 13‑week paid, hybrid internship (Fall/Winter 2025) within Toyota Research Institute’s Human‑Centered AI division. The intern will explore generative AI applications for narrative‑driven design, immersive scenario generation, and future product concept development, collaborating with interdisciplinary researchers and Toyota business stakeholders. **Expectations:** - Define and align project scope with team research goals. - Lead technical planning, model development, and analysis. - Execute research using TRI resources and iterate with mentor feedback. - Communicate progress and results in team and division meetings. - Contribute to strategy discussions linking research to business impact. **Key Responsibilities:** - Design and implement generative AI pipelines for immersive scenario creation. - Adapt and fine‑tune pre‑trained models (e.g., Gemini, ChatGPT) for narrative generation. - Produce research prototypes and evaluate their effectiveness. - Document methods, results, and insights; prepare presentation materials. - Collaborate with multidisciplinary team members and external stakeholders. **Required Skills:** - Proficiency with graphic‑design generative AI tools (e.g., Google Veo, Gemini, Midjourney, Visual Electric). - Experience building or applying deep generative models for narrative or content generation. - Strong research track record with publications in top venues (CHI, SIGGRAPH, CVPR, etc.). - Ability to work autonomously while actively seeking feedback. - Excellent written and verbal communication; effective teamwork. **Required Education & Certifications:** - Currently enrolled in a PhD program in Computer Science, Information Science, Immersive Media, Machine Learning, or a closely related field. - No additional certifications required.

Los altos, United states

Hybrid

Fresher

23-12-2025

Company Name

Toyota Research Institute

Job Title

Future Product Innovation Intern, CAD Generation ML

Job Description

Job Title: Future Product Innovation Intern, CAD Generation ML Role Summary: PhD‑level intern to advance generative AI techniques for automotive CAD generation, focusing on point‑cloud and image‑to‑CAD conversion within a 13‑week paid summer program. Expectations: • Complete a research project under mentor guidance. • Participate in Future Product Innovation and Human‑Centered AI division meetings. • Present research findings and discuss business impact. • Work independently while soliciting feedback. Key Responsibilities: • Scope the research project to align with core innovation objectives. • Own the technical plan, including model development and analysis. • Execute experiments using TRI resources and maintain reproducible code. • Deliver presentations at research and stakeholder meetings. Required Skills: • Hands‑on experience with CAD data (B‑rep, STEP). • Proficient in Python libraries such as pythonocc‑core, Shapely, TriMesh, Blender. • Knowledge of deep generative models applied to CAD generation. • Strong publication record in top venues (CVPR, ICCV, TOG, SIGGRAPH, NeurIPS, etc.). • Ability to work autonomously, communicate clearly, and collaborate effectively. Bonus Skills (optional): • Development of research software prototypes. • Fine‑tuning pre‑trained models for domain adaptation. • Familiarity with CAD development tools. Required Education & Certifications: • Current enrollment in a PhD program in Computer Science, Machine Learning, or related field. • Verified publication list via Google Scholar.

Los altos, United states

Hybrid

Fresher

22-12-2025

Company Name

Toyota Research Institute

Job Title

Robotics Intern - Dynamics and Simulation

Job Description

**Job Title** Robotics Intern – Dynamics and Simulation **Role Summary** Thirty‑day internship (12 weeks) focused on advancing high‑fidelity robot simulation within the open‑source Drake framework. Interns collaborate with research scientists and software engineers to develop numerically accurate and performant models of mobile robot dynamics, object manipulation, and perception. The role emphasizes algorithm design, implementation, and scientific dissemination. **Expectations** - Deliver functional simulation modules that meet rigorous accuracy and performance standards. - Produce technical documentation and unit tests for new features. - Submit findings for publication in peer‑reviewed journals or conferences. - Participate in code reviews, continuous integration, and cross‑team coordination. - Work in a hybrid environment; primary focus on technical contributions rather than field deployment. **Key Responsibilities** - Design and implement physics‑based models (e.g., multibody dynamics, contact mechanics). - Develop numerical solvers for DAEs, time‑stepping, and event handling. - Optimize simulation performance, including potential GPU acceleration. - Validate simulation outputs against analytical results or real‑world data. - Write clear documentation, tutorials, and maintain unit tests. - Collaborate with open‑source community to incorporate new capabilities into Drake. **Required Skills** - Proficient in C++ (modern standards) and/or Python for scientific computing. - Strong foundation in linear algebra, differential equations, PDEs, nonlinear equations, and geometry. - Experience with numerical methods for physical simulation (e.g., integration schemes, contact resolution). - Familiarity with scientific software best practices: unit testing, continuous integration, documentation. - Ability to analyze accuracy–performance trade‑offs in simulation code. **Bonus / Preferred Knowledge** - Hybrid systems modeling; symbolically analyzable abstractions. - Multibody dynamics and rigid/soft‑body mechanics. - Discrete & differential computational geometry. - Contact mechanics or differential–algebraic equations. - High‑performance computing, GPU programming, or large‑scale simulation frameworks. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Mechanical Engineering, Physics, or related field (advanced degree advantageous). - No specific certifications required; demonstrated coursework in physical simulation, numerical analysis, and software engineering. ---

Cambridge, United states

Hybrid

Fresher

28-12-2025

Company Name

Toyota Research Institute

Job Title

Robotics Intern - Mobile Manipulation, Learned Policies

Job Description

Job Title Robotics Intern – Mobile Manipulation, Learned Policies Role Summary A 12‑week summer internship focused on designing, implementing, and validating vision‑action models (VLAs/VAMs) that link perception to autonomous mobile manipulation and navigation tasks. The role involves integrating these models with optimization‑based planners, performing data collection and analysis, and investigating failure modes of contemporary robot foundation models in real‑world settings. Expactations * Complete internship within 12 weeks, hybrid on‑site. * Deliver functional prototype components and documentation. * Collaborate within a multidisciplinary robotics team. * Present progress and findings to stakeholders. Key Responsibilities * Develop and integrate VLAs/VAMs for mobile manipulation and navigation. * Hybridize VLAs with classical optimization planners to enhance robustness. * Collect, clean, and visualize data from robotic tasks. * Analyze failure modes and bottlenecks in state‑of‑the‑art foundation models. Required Skills * Strong experience linking robotic perception to real‑world action. * Proficient in PyTorch and training deep neural networks. * Solid software engineering skills in Python and C++. * Ability to work collaboratively and communicate complex ideas. Required Education & Certifications * Currently enrolled in a Master’s or Ph.D. program in an engineering‑related field. * No additional certification required.

Los altos, United states

Hybrid

Fresher

15-01-2026