JOB ID 28260

Research Engineer

  • メーカー, 自動車
  • 製品エンジニア(ハード・ソフトウェア)
  • 東京都
  • 800万円~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 advanced AI research and engineering for autonomous driving.
The core philosophy is Research for Development: identifying important problems from real-world autonomous driving systems, developing novel solutions, validating them on large-scale driving data, and driving promising ideas toward practical deployment.
Research topics may include World Models, reinforcement learning, multimodal/foundation models, online calibration, robust perception, continual learning, large-scale distributed training, generative models, and other high-impact problems in autonomous driving.
This is not a purely academic research position. Candidates are expected to conduct high-quality research while also being strong hands-on developers.

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募集要項

  • 職種要約
    ・Identify and solve challenging research problems from real autonomous driving systems.
    ・Develop novel algorithms, model architectures, training strategies, and evaluation methods.
    ・Build research prototypes and conduct large-scale training, debugging, ablation studies, and failure analysis.
    ・Work with real-world multimodal driving data, including Camera, LiDAR, Radar, vehicle states, and maps.
    ・Collaborate with perception, localization, planning, simulation, infrastructure, and deployment teams.
    ・Drive promising research results toward system integration and practical deployment.
    ・Publish high-quality research at leading venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, CoRL, ICRA, and IROS when appropriate.
  • 応募資格(必須)
    ・Master’s degree or Ph.D. in Computer Science, AI, Robotics, Computer Vision, Machine Learning, or related fields.
    ・Strong research background in at least one relevant area, such as World Models, reinforcement learning, multimodal learning, autonomous driving, robust learning, continual learning, calibration, or distributed training.
    ・Strong programming ability in Python and PyTorch, with the ability to implement and debug research systems independently.
    ・Ability to formulate meaningful research problems, design rigorous experiments, and analyze failure cases.
    ・Willingness to work with large-scale real-world data and practical system constraints.
    ・Strong ownership and collaboration skills.es.
  • 応募資格(優遇)
    ・Ph.D. degree in a relevant technical field.
    ・Publications at top-tier conferences or journals in computer vision, machine learning, robotics, or autonomous driving.
    ・Experience transferring research results into real autonomous driving, robotics, or production systems.
    ・Experience with large-scale training, C++/CUDA, simulation, or other production-oriented engineering environments.
  • 勤務地
    東京都
  • 勤務スタイル
    在宅勤務OK, フレックス勤務OK
  • 給与
    800万円~2000万円
  • こだわり条件
    海外展開, 土日祝休み, 大手企業

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関連求人

Senior Cloud Infrastructure Engineer & Architect

  • メーカー, 自動車
  • ネットワーク・インフラエンジニア,IT, 製品エンジニア(ハード・ソフトウェア)
  • 東京都
  • 1000万円~1500万円

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 designing, building, and evolving cloud infrastructure for autonomous driving development, data processing, and model training. You will work directly with engineering teams to turn their needs into shared infrastructure and gradually take ownership of the company’s overall cloud architecture. This is a hands-on role based in Japan.

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Autonomous Driving Simulation Validation 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~1200万円

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.

Validate autonomous driving software releases by translating product requirements into simulation scenarios, implementing evaluation metrics, and producing validation reports. The role uses an existing simulation platform and reviews product-defined expected behaviors and acceptance thresholds for technical soundness and testability.

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Mapping Toolchain Full-Stack Engineer

  • メーカー, 自動車
  • プロダクトマネージャー,IT, Web・オープン系,IT, Webプロデューサー・ディレクター,IT, 製品エンジニア(ハード・ソフトウェア)
  • 東京都
  • 500万円~1100万円

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.

Responsible for the R&D of a high-precision, highly available autonomous driving mapping toolchain. You will automate map-making and deployment workflows in the cloud and implement unified data flow monitoring.

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Product Manager, Autonomous Driving

  • メーカー, 自動車
  • 制御、組み込み系,IT, プログラム・プロジェクトマネジメント,IT, 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
  • 800万円~1500万円

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 involves the behavior and ODD of L4 autonomous trucks, and takes the product into logistics customers' operations and commercial use. It turns driving scenarios, system constraints, customer operating needs, and deployment requirements into product definitions that collaborate with planning and control, validation, and release, while working with customers to move from PoC toward commercial operation.

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Autonomous Driving Field Engineer

  • メーカー, 自動車
  • 制御、組み込み系,IT, プログラム・プロジェクトマネジメント,IT, その他(ローカリゼーション・QA等),IT, 運用保守・サポート,IT, 製品エンジニア(ハード・ソフトウェア)
  • 神奈川県

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.

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Autonomous Driving Fusion Algorithm Engineer (MOT / Multi-Sensor Fusion)

  • メーカー, 自動車
  • 製品エンジニア(ハード・ソフトウェア)
  • 東京都
  • 1000万円~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 multi-object tracking (MOT) and multi-sensor fusion for autonomous driving perception, covering both object-level fusion and early fusion. The position is responsible for advancing data association and state estimation algorithms, cross-sensor fusion architecture, evaluation methodology, and the deployment of robust, production-grade tracking and fusion modules on large-scale real-world driving data

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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.

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AD System Integration & Performance Engineer

  • メーカー, 自動車
  • 制御、組み込み系,IT, 製品エンジニア(ハード・ソフトウェア)
  • 東京都
  • 600万円~1500万円

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 vehicle-side software system integration, performance optimization of underlying resources (CPU, Memory, I/O, Network), and the construction of performance analysis toolchains for autonomous driving systems.

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Motion Planning Algorithm Tech Lead

  • メーカー, 自動車
  • 製品エンジニア(ハード・ソフトウェア)
  • 東京都
  • 1500万円~2500万円

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 leads the development of optimization-based planning algorithms for autonomous trucks. The position owns the design, implementation, and continuous improvement of the planning module, with close integration across perception, prediction, control, simulation, and on-vehicle testing.

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Consultation

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