Software Engineer, Driving Planning (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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TEAMTeammate Driving is a team that aims to develop safer and more secure vehicle maneuver applications for mass production vehicles. In advanced driving assistance systems such as autonomous driving, the ego-velocity and path planning technology is highly required so that the driving trajectory on public roads should be calculated efficiently and smoothly. Our driving planning engineers have been developing optimized velocity and path planning algorithms so as to emulate a skilled driver based on the surrounding environment and obstacles information acquired from the autonomous sensors and road information from a map for driving assistance. 
Teammate Driving は、市販車向けに、より安全で安心な車両制御アプリケーションの開発を目的とするチームです。自動運転などの高度な運​​転支援システムでは、公道での走行軌道を効率的かつスムーズに計算するための速度・パス(経路・軌道)プランニング技術が強く求められています。私たちの走行プランニングエンジニアは、自律センサから取得した周囲の環境や障害物の情報、運転支援用地図からの走路情報に基づいて、まるで熟練したドライバのような最適化された速度・パスプランニングアルゴリズムを開発しています。
WHO ARE WE LOOKING FOR?Strong interest in developing the optimized ego-velocity, driving planning and decision-making technology for the autonomous driving system or advanced driving assistance system. The specific areas are as follows:
・Longitudinal vehicle dynamics control, such as acceleration and de-acceleration   ・Velocity management is based on the acquired data by sensors (e.g. camera, radar) and lane information from a map for driving assistance   ・Vehicle motion control to avoid collisions with other traffic participants・Virtual development and validation with closed-simulation models   ・Optimal velocity and driving planning algorithms subject to environmental, perceptual capabilities, a map for driving assistance and actuation constraints   ・Development and building simulation environments and evaluation tools, creating evaluation scenarios, and evaluating functions using these environments and tools
自動運転システムまたは運転支援システムにおける最適速度演算、走行プランニング、デシジョンメイキング技術に強く興味がある。詳細な要件は以下の通り。
・加速、減速のような縦方向車両運動制御   ・自律センサによる取得データと運転支援用地図から計算された道路形状情報に基づくスピードマネジメント   ・他の交通参加者との衝突を回避するための車両運動制御・クローズドシミュレーションモデルを使った開発と検証   ・周辺環境、センサ認識能力、運転支援用地図、およびアクチュエータの制約に基づいて最適な速度および走行プランニングアルゴリズム   ・シミュレーション環境や評価ツールの構築、評価シナリオの作成、およびこれらを使った機能評価

RESPONSIBILITIES

  • Development and building simulation environments and evaluation tools, creating evaluation scenarios for developing driving planning algorithms
  • Evaluating application functionality and performance using data acquired by test vehicles or vehicle simulators
  • Developing driving planning algorithms to control vehicles in complex and sensitive surrounding environments
  • 走行プランニングアルゴリズムを開発するためのシミュレーション環境や評価ツールの構築、評価シナリオの作成
  • 試験車両または車両シミュレータによって取得されたデータを利用して、アプリケーションの機能と性能の評価
  • 複雑な周辺環境において車両を制御するための走行プランニングアルゴリズム開発

MINIMUM QUALIFICATIONS

  • Currently pursuing a Bachelor’s, Master’s, or PhD degree in computer science, machine learning/deep learning, robotics,  mathematical engineering, or a similar major
  • Experience with Linux
  • Experience with programming C, C++
  • Native or business level Japanese (at least JLPT N2 or equivalent level is required)
  • コンピュータサイエンス、機械学習、ロボット工学、数理工学または類似の技術研究分野の専門知識
  • Linuxの使用経験がある
  • CまたはC++でのプログラミング経験がある
  • 幅広い場面で使われる日本語を理解する能力(例:JLPTまたは同等のレベルに基づくN2以上の日本語が必要)

NICE TO HAVES

  • Coding experience in one or more programming languages, such as Python
  • Data analytical skills
  • Pythonなどの1つ以上のプログラミング言語でのコーディング経験
  • データ解析スキル
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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Category: Engineering Jobs

Tags: Autonomous Driving Computer Science Deep Learning Engineering Linux Machine Learning PhD Privacy Python Radar Research Robotics Teaching

Perks/benefits: Career development Startup environment Team events

Region: Asia/Pacific
Country: Japan

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