Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company.
Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation.
Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
MAKE A BIG IMPACT TOGETHER
Are you ready to make a difference towards mobility for all? Woven by Toyota internships may be the place for you.
In this internship program, you will participate in one meaningful project that impacts our future key results, and work with our colleagues as one team.
Our world-class engineers will be your mentors, supporting you in order to provide you with a fruitful experience. We look forward to hearing from engineering students who have a strong passion to make people's lives better and happier, and to create products that innovate the world through technologyMinimum Requirements
・Currently pursuing an Associate's, Bachelor's, Master's, or PhD degree with an expected graduation by the end of March 2028
※Must be in school until the end of internship program
・Must be available for a 3-month on-site internship in 2026 (During the internship, remote is not eligible.)
・Have no more than 24 months of professional full-time work experience in the technology field (excluding internships, research and/or teaching assistant roles, and military experience)
・International students who require visa support must meet one of the following requirements:
・The internship program is part of your education and essential for your graduation
・This internship allows you to receive some credit(s) for your education program
・Have Bachelor degree at the time of application
WORKING CONDITIONS
・Start Date:
June 1, 2026, August 3, 2026
・Internship Duration: 3 months
・Expected work hours: 5 days (40 hours/week), depending on visa and class scheduling, some flexibility for shorter hours may be available
・Salary Type:
Hourly wage
・Work Location:
Nihombashi (head office)
・Others:
・The program is expected to be on-site
・International students:
Air tickets, visa support, and temporary housing will be provided
・Japan-based students (outside Tokyo): Temporary housing will be provided
FINAL APPLICATION DUE DATES (all dates are in JST)
Start date:
June 1, 2026 (Monday)
・Tokyo-based Japanese students: March 20, 2026 (Friday)
・Overseas-based Japanese students, Overseas-based PR holders, or Japan-based students requiring accommodation in Tokyo: March 17, 2026 (Tuesday)
・Japan-based international students: February 19, 2026 (Thursday)
・International students without a Japanese work permit: February 2, 2026 (Monday)
Start date:
August 3, 2026 (Monday)
・Tokyo-based Japanese students: May 22, 2026 (Friday)
・Overseas-based Japanese students, Overseas-based PR holders, or Japan-based students requiring accommodation in Tokyo: May 19, 2026 (Tuesday)
・Japan-based international students: April 15, 2026 (Wednesday)
・International students without a Japan work permit: April 6, 2026 (Monday)
※Please apply as soon as possible as positions may close before the final application due dates. Visa-supported or student visa applicants require a minimum of 2.5 months for processing.
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TEAM
The Human System Integration team is developing the human machine interface (HMI), which helps ensure that drivers can use advanced driver assistance systems (ADAS) safely and securely.
As ADAS replaces part of human cognition, judgment, and operation, we aim to promote mutual understanding between the car and humans through HMI and deliver safe, reliable mobility to more people in more places.
HMI development is a stage where you can collaborate with diverse departments and translate ideas into concrete code through hands-on practice, and develop software that directly enhances the appeal of the vehicle.
WHO ARE WE LOOKING FOR?
Would you like to take on the challenge of developing HMI (Human-Machine Interface) control applications for next-generation advanced driver assistance systems? Our team develops applications that create information displayed on meters, head-up displays, and multimedia systems.
Leverage your solid coding skills and broad software development knowledge to drive implementation and evaluation as Proof of Concept (PoC).
We seek people who not only possess technical expertise but also actively communicate with team members, shape owns ideas, and have the drive to see projects through to completion.
ResponsibilitiesDesign and implement next-generation HMI (Human-Machine Interface) control applications as proof-of-concept (PoC) prototypes
Evaluate the application's functionality and the usability of the HMI by using simulators
Share evaluation results clearly with team members and project stakeholders, incorporating their feedback and advice to drive subsequent improvements
Minimum Qualifications
People with experience in machine learning workflows (data collection/preparation, preprocessing, model creation, detailed analysis, evaluation, deployment, and inference optimization)
Experience programming in Python, C, or C++
Proficiency and experience communicating in Japanese (JPL N1 or native level) for work, including written and verbal communication
Logical thinking and explanatory skills to present challenges and solutions to stakeholders
Currently enrolled in a master's program (or higher)
NICE TO HAVES
Experience conducting usability evaluations using tools such as driving simulators
Experience in UX (user experience) planning and interactive design
Experience developing and evaluating driver assistance or automated driving systems
Knowledge of the latest trends in machine learning (large language models, foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures, etc.)
Experience using machine learning frameworks such as PyTorch or TensorFlow
Experience using modern cloud services such as AWS, GCP, Azure, and GitHub
=========================================================================
Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
INTERNSHIP STRUCTURED WITH YOUR GROWTH IN MIND
・ Meaningful Projects that contribute toward your team's goals and have an impact on our success
・ Committed Mentors aligned for each intern for guidance, and managers to support you throughout the internship
・Structured Midpoint Evaluations that share real feedback on how you are growing both technically and professionally
・ Professional Development and Fun Events to ensure you are learning and enjoying the summer
・ Final Project Presentations that showcase your excellent work to our Woven by Toyota community
・Our interns enjoy many benefits, perks, and housing assistance for the duration of the internship
・As your internship wraps up, you will be considered for a return offer* as a full time employee, to start when you graduate
・*Return offers are limited to candidates who graduate by the end of March 2028, which is an eligibility requirement. If the graduation date is extended beyond this timeframe, the return offer becomes invalid.
Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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