(This position is for new graduates.)
エントリー方法 / How to apply
・募集要項を確認の上、希望する職種ページの「応募する」よりご応募下さい。
・複数職種への応募はできません。応募時に第二希望職種を記載することは可能です。
・入力内容の一時保存はできませんのでご注意下さい。
・応募締切:2026年3月8日(日)
・Review the job description and apply for the desired position.
・We don't accept applications for multiple position(Possible to list your second choice)
・Please note that you cannot save the contents of the application form temporarily.
・Application Deadline:
March 8, 2026 (Sun) JST
N2.自動運転・運転支援におけるソフトウェア・AI開発エンジニア 募集要項 チームのミッションと業務内容
知能化された自動運転・運転支援システムを実現するソフトウェア・AIの開発。従来の自動車開発にとらわれない内製開発を重視しており、自分たちの技術を実際に形にして動かすことの達成感を得ることができます。また、ソニー・Hondaの高い技術力や開発リソースを存分し活用し、高いレベルでの開発に取り組 むことができます。そして何より、最先端の自動運転・運転支援技術開発を通じて、クルマに乗る際の事故リスクをゼロに近づけ、クルマを通して笑顔になる人を増やし、高齢者や運転が得意でない人々の日々の移動を支える。そうした新たな移動の感動を創造するやりがいを感じることができます。
当社は北米・日本に向けて2026年以降に実際のプロダクトをローンチしますので、専門性の向上はもとより、技術領域の広がり、商品やビジネスの観点の習得などが図れ、技術的な専門性と一人前のエンジニア両面の成長が実現できます。
<業務内容の例>
外界認識、走路計画、End-to-end AIモデル・ソフトウェア開発
自動運転・運転支援ソフトウェアおよびシステム評価
自動運転・運転支援システムの検証環境構築、テストの自動化など CI/CD/CT 環境の構築
データ収集車両システムの開発(データ収集、データアップロード、アノテーション、データ管理)
機械学習等のAI技術向上を加速するための機械学習プラットフォームの構築(DataOps/MLOps)
活かせるスキル・経験
<専門領域>
・画像認識/物体検知
・機械学習
・ロボティクス
・情報工学
・最先端のAI・機械学習に関する知見(VLM/世界モデル/強化学習/マルチモーダル等)
<開発言語・ツール>
・言語:
C、C++、 Python、ROS、Java等
・ツール:
Pytorch、MLflow、TensorFlow等
描けるキャリア
独自のロボティクスとセンシング技術から生み出す自動運転システムの開発を通じて、コア技術となる機械学習やソフトウェアの開発経験を積みつつ、大規模かつ複雑なシステムを実現するために必要なシステムズエンジニアリング能力を習得できます。また顧客からのフィードバックを常に得つつ、システムをソフトウェアで常にアップデートしていくため、最新の技術動向を掴み応用する能力が身に付くとともに、ユーザー視点での開発をリードできるようになります。
N2. Job Description for Software/AI development for AD/ADAS system Team's Mission & Job description
Development of Software and AI for Intelligent Autonomous Driving and Driver Assistance Systems
We focus on in-house development that breaks away from traditional automotive development, allowing you to experience the satisfaction of bringing your own technology to life.
Most importantly, through the development of cutting-edge autonomous driving and driver assistance technologies, you can work towards minimizing the risk of accidents while driving, increasing the number of people who smile when using cars, and supporting the daily mobility of the elderly and those who are not confident in driving.
By gathering diverse experiences, talents, and passionate colleagues, and engaging in discussions and challenges across different technological domains, you can not only enhance your expertise but also expand your technical knowledge, gain insights into products and business perspectives, and achieve growth in both technology and engineering.
Perception of the external environment, path planning, end-to-end AI model/software development
Evaluation of autonomous driving and driver assistance software and systems
Building verification environments for autonomous driving and driver assistance systems, automation of testing, and establishing CI/CD/CT environments
Development of data collection vehicle systems (data collection, data upload, annotation, data management)
Building machine learning platforms to accelerate the improvement of AI technologies such as machine learning (DataOps/MLOps)
Requirements
Area Of Expertise
Image recognition/Object detection
Machine learning
Robotics
Information Engineering
The latest insights on cutting-edge AI and machine learning (VLM/world models/reinforcement learning/multimodal, etc.)
Development Languages And Tools
Languages:
C, C++, Python, ROS, Java (and others)
Tools:
PyTorch, MLflow, TensorFlow (and others)
Career Path
Skills
Through the development of autonomous driving systems based on our unique robotics and sensing technologies, you will acquire the following skills and knowledge:
Master the core technologies behind autonomous driving systems
Gain Systems engineering capabilities through learning how to engineer large-scale and complex systems
Continuously update the system with customer feedback
Stay up-to-date with the latest technological trends and apply them to your work.
Develop the ability to think from the user's perspective.
職種 / 募集ポジション 【新卒採用】N2.自動運転・運転支援におけるソフトウェア・AI開発エンジニア | Software/AI development for AD/ADAS system
雇用形態 正社員
契約期間 契約期間の定め無し(試用期間あり:3か月)
Full-time, permanent position (Probation period:
First 3 months)
給与
年収
大学院卒:
年収約590万円~、学部卒:年収約530万円~ (予定) *時間外勤務手当は含まず(別途支給)、賞与支給予定額を含む Master's degree:over 5.5M yen/yr, Bachelor's degree:over 5.1M yen/yr(est.) *excluding overtime pay and including estimated bonus payment
勤務地
東京都港区赤坂 9-7-2 ミッドタウン・イースト 9階 地図で確認
その他国内外拠点での勤務可能性あり Possibility of working in other bases
勤務時間 フレックスタイム制 / Flex time リモートワーク可 / Available for remote working
休日 土日、祝日 完全週休二日制 / Two days off per week, National holidays 年次有給休暇・慶弔休暇他 / Paid Leaves, congratulatory and bereavement leave etc.
加入保険 健康保険、厚生年金、雇用保険、労災保険 / Health Insurance, National Welfare Pension, Employment Insurance, Worker's Compensation
受動喫煙対策 屋内禁煙 / No smoking on site
会社情報
会社名 ソニー・ホンダモビリティ株式会社
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