JOB ID 28259
Planning Algorithm Engineer
- メーカー, 自動車
- その他（ローカリゼーション・QA等）,IT, 製品エンジニア（ハード・ソフトウェア）
- 東京都
- 600万円～2000万円
2024年4月に設立された日本のディープテック系スタートアップ企業。大型トラック向け自動運転システムの開発を専門とし、ドライバー不足や高齢化、物流需要の増加といった日本の物流業界が抱える課題の解決を目指している。高速道路を利用した幹線輸送に重点を置き、AIを活用した先進的な自動運転技術により、輸送の安全性と業務効率の向上、物流コストの削減を推進している。自動車メーカーや物流企業との連携を通じて、自動運転トラックの実用化と次世代の物流インフラの構築に取り組んでいる。
A Japanese deep-tech startup established in April 2024, specializing in the development of autonomous driving systems for heavy-duty trucks. The company aims to transform Japan’s logistics industry by addressing challenges such as driver shortages, an aging workforce, and increasing freight transportation demand. Focusing on autonomous highway transportation, it develops advanced AI-powered technologies designed to improve transportation safety, operational efficiency, and logistics sustainability. Through collaboration with automotive manufacturers and logistics companies, the company is working toward the commercialization of autonomous trucking solutions and the development of next-generation automated freight transportation infrastructure in Japan.
This role focuses on developing and deploying decision-making and planning algorithms for autonomous heavy trucks on highways and other structured roads. You will take ownership of algorithm development and engineering implementation within the Planning module, from modeling driving problems and designing strategies to system integration, evaluation, and continuous improvement.
募集要項
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- 職種要約
- ・Model driving scenarios based on vehicle state, road structure, navigation information, and obstacle predictions, and design decision-making and planning strategies.
・Develop cost models, constraints, and optimization methods that balance safety, comfort, traffic efficiency, and driving style.
・Address vehicle interactions in complex traffic, improving decision-making capability and stability in scenarios involving slow-moving vehicles, dense traffic, cut-ins, merges, lane changes, and construction zones.
・Implement, optimize, and integrate planning algorithms to ensure real-time performance, stability, and maintainability on onboard computing platforms.
・Build and improve testing and evaluation capabilities, including simulation scenarios, automated tests, evaluation metrics, and scenario replay for issue analysis.
・Investigate algorithm issues using real-world driving and simulation data, analyze corner cases, and continuously improve the Planning system.
・Collaborate with Prediction, Localization, Mapping, Control, and Simulation teams to improve overall system capabilities.
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- 応募資格（必須）
- ・Bachelor’s degree or above in Computer Science, Automation, Vehicle Engineering, Robotics, Mathematics, or a related field.
・Strong foundations in algorithms and programming, proficiency in C++, and solid skills in code design, debugging, and engineering implementation.
・A solid mathematical foundation, including an understanding of common optimization methods, probability and statistics, numerical methods, and vehicle kinematics / dynamics models.
・Ability to formulate problems from complex real-world scenarios, build appropriate models, and translate them into working implementations; ability to quickly understand unfamiliar domains and exercise independent judgment.
・A commitment to code quality, effective communication, and collaborative teamwork.
・Proficiency in reading and writing Chinese for technical documentation and communication, and English reading proficiency at CET-6 or an equivalent level to understand English-language technical literature.
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- 応募資格（優遇）
- ・Experience in planning for production of autonomous driving systems or L4 autonomous driving, especially in highway scenarios.
・Experience handling complex scenarios such as lane changes, merges, cut-ins, ramps, and construction zones.
・Familiarity with planning representations such as Frenet / Cartesian and ST-SL, as well as trajectory optimization, optimal control, and MPC.
・Experience with interactive decision-making, joint prediction and planning modeling, or learning-based planning.
・Familiarity with planning frameworks such as Apollo or Autoware, or experience with simulation, evaluation, and data-driven development loops.
・Experience in performance optimization, research publications, competitions, open-source contributions, or on-vehicle deployment.
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- 勤務地
- 東京都
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- 勤務スタイル
- 在宅勤務OK, フレックス勤務OK
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- 給与
- 600万円～2000万円
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- こだわり条件
- 海外展開, 土日祝休み, 大手企業
Consultation
自動車・モビリティ業界における
転職やキャリア設計、
求人の選定の
ご相談を承ります。
