Motion Planning Engineer, AD/ADAS (Internship)

Tokyo

Woven by Toyota

Woven by Toyota will help Toyota to develop next-generation cars and to realize a mobility society in which everyone can move freely, happily and safely.

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Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society.Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.
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 technology!
MINIMUM REQUIREMENTS・Currently pursuing an Associate’s, Bachelor’s, Master’s, or PhD degree with an expected graduation through to the end of March 2027 ※Must be in school until the end of internship program・Must be available for a 3-month on-site internship in 2025・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)・Overseas Students (Based outside of Japan) 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, 2025,  August 1, 2025・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 onsite  ・Overseas Students (Based outside of Japan): Air tickets, visa support, and temporary housing will be provided  ・Local Students (Outside of Tokyo): Temporarily housing will be provided
FINAL APPLICATION DUEStart date: June 1, 2025・Overseas Students (Based outside of Japan): January 19, 2025 JST 23:59・Local Students (Including non-Japanese Based in Japan): March 23, 2025 JST 23:59
Start date: August 1, 2025・Overseas Students (Based outside of Japan): February 21, 2025 JST 23:59・Local Students (Including non-Japanese based in Japan): May 18, 2025 JST 23:59※Please note that the position may be closed prior to the final application due date. Please apply as soon as possible.
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TEAMWoven by Toyota's AD/ADAS organization is developing algorithms for next-generation autonomy and ADAS active safety systems, using data-driven approaches and efficient architecture. We are looking for a systems-minded engineer with experience in AD/ADAS to apply algorithms for motion planning by using information from sensors or maps. You will be excited to develop world-class autonomy features and be passionate about improving the lives of millions through safety and mobility.
Woven by ToyotaのAD/ADAS組織では、次世代のAD/ADASアクティブセーフティシステムのために、データドリブンアプローチと効果的なアーキテクチャを活用しアルゴリズムを開発しています。私たちはセンサーや地図情報を活用し、モーションプランニングのアルゴリズムを開発するAD/ADASの経験を持つシステム志向のエンジニアを求めています。世界トップクラスのAD/ADAS技術を開発することに意欲的であり、安全性とモビリティを通じて何百万もの人々の生活を改善することに情熱を持っている方を歓迎します。
WHO ARE WE LOOKING FOR?As a Motion Planning Engineer, you are a technical expert in at least one area below:・Path planning by using sensors or map information・Vehicle motion control (longitudinal and lateral)・Data-driven planning using machine learningThose with experience implementing these technologies into ADAS systems, robotics, and automated driving are very welcome.
モーションプランニングエンジニアとして、以下のいずれかの分野で専門性を持つ技術者を求めています:・センサーや地図情報を活用した経路計画・車両の運動制御(縦方向および横方向)・機械学習を活用したデータドリブンプランナーこれらの技術をADASシステム、ロボティクス、自動運転の分野に実装した経験をお持ちの方を特に歓迎します。
RESPONSIBILITIES・Collaborate with teams such as Perception, Control, Simulation, Infrastructure, and Tooling to build unified solutions and realize safer and more secure system-level functionality and performance for AD/ADAS・Develop features such as lane-keeping, speed management, lane change, lane planning, and others・Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing・You will be part of team which handles advanced research to product development・Example day to day life would look like this:    ・30% of the time will be spent on the meeting with other team members based on Scrum event (Daily scrum, sprint planning, sprint review, sprint retrospective) and technical discussion with other team members, etc.    ・70% of the time will be spent heads down designing logics, coding, evaluating with SILS environment, analyzing vehicle test issues, etc.
他のチーム(Perception、Control、Simulation、Infrastructure、Toolingなど)と連携し、統合的なソリューションを構築して、AD/ADASシステムの安全性・安心感を高めるシステムレベルの機能および性能を実現します・車線維持、速度管理、車線変更、車線プランニングなどの機能を開発します・シミュレーション、CI、コードレビュー、HIL テスト、車両テストなどを通じて、メンテナンス性のあるコードを生み出すソフトウェア開発を実践します・研究開発から製品開発までを担うチームの一員として活動します
日々の業務の例:・約 30% の時間は、スクラムイベント(デイリースクラム、スプリントプランニング、スプリントレビュー、スプリントレトロスペクティブ)やチームメンバーとの技術的議論に費やします。・約 70% の時間は、ロジック設計、コーディング、SILS 環境での評価、車両テストで発生した問題の分析などに集中します

MINIMUM QUALIFICATIONS

  • Degree in Computer science, Mechanical engineering, Robotics, Applied Mathematics, or a related field
  • Some experience in path planning, vehicle control or ADAS
  • Some experience in machine learning
  • 1+ years with C / C++ and familiarity with Python or other programming languages
  • Working proficiency in English (verbal and written)
  • 学位要件: コンピュータサイエンス、機械工学、ロボティクス、応用数学、または関連分野での学位
  • 経験: 経路計画、車両制御、または ADAS における何らかの経験
  • 機械学習: 機械学習の知識または経験があること
  • プログラミング: C / C++ での1 年以上の実務経験、および Python や他のプログラミング言語の基礎的な理解
  • 英語スキル: 英語での業務遂行能力(口頭および文書)

NICE TO HAVES

  • Knowledge of embedded software implementation, vehicle dynamics
  • Experience in data-driven development
  • Knowledge of control engineering (PID, LQR, MPC)
  • Experience using Agile software management tools
  • Communication in Japanese
  • 組込みソフトウェア実装の知識: 車両ダイナミクスおよび組込みソフトウェアの開発に関する理解
  • データドリブン型開発の経験: データを活用した開発プロセスや技術への理解と実務経験
  • 制御工学の知識: PID、LQR、MPC などの制御理論に関する知識
  • アジャイルソフトウェア開発ツールの経験: Git, Jira, などのアジャイル開発ツールの使用経験
  • 日本語でのコミュニケーション: 日本語での会話や文書作成が可能なスキル
All interviews will be arranged via Google Meet, unless otherwise stated.
=========================================================================INTERNSHIP STRUCTURED WITH YOUR GROWTH IN YOUR 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
[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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Region: Asia/Pacific
Country: Japan

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