中途採用 R&D Vehicle Data Analytics & Simulation Engineer
소프트웨어 엔지니어정규직전체 · 경력 무관
미쓰비시후소 트럭·버스에서 R&D Vehicle Data Analytics & Simulation Engineer를 채용합니다. 차량 데이터 분석 및 시뮬레이션 모델링을 통해 상용차 개발을 지원하며, 데이터 분석 경력 2년 이상과 Microsoft Azure, SQL, Python 활용 능력이 필수입니다. Matlab Simulink 경험과 전기차 지식을 갖춘 분을 우대합니다. 비즈니스 수준의 영어 실력이 요구되며, 가와사키 본사에서 근무하게 됩니다.
開発／R&D
本社 - 川崎製作所／HQ - Kawasaki Plant ＞本社
三菱ふそうトラック・バス株式会社（MFTBC）は、90年以上にわたり商用車の「ものづくり」を支えてきた歴史と技術力を背景に、世界170以上の国と地域でトラック・バスを展開するグローバルメーカーです。
2026年4月には、日野自動車と統合し、新たに設立される持株会社 「ARCHION（アーチオン）」 の一員として事業を開始します。
ARCHIONは、トヨタ自動車およびダイムラートラックがそれぞれ25％を出資する新たな商用車グループであり、日本発の強力な商用車パートナーとして、開発・調達・生産の協業を通じ、アジア太平洋地域を中心にグローバルでの競争力強化を目指しています。
MFTBCは、これまで培ってきた日本の技術力とグローバル市場での経験をもとに、革新的な商用車の開発、カーボンニュートラルへの挑戦、CASE技術（電動化・自動化など）への取り組みを加速させていきます。
新体制のもと、商用車の未来を切り拓く存在として、より安全・高品質で環境に優しいモビリティの提供に取り組んでまいります。
Mitsubishi Fuso Truck and Bus Corporation (MFTBC) is a global commercial vehicle manufacturer with more than 90 years of history and craftsmanship, delivering high‑quality trucks and buses to over 170 countries and regions worldwide.
In April 2026, MFTBC will integrate with Hino Motors under a newly established holding company, ARCHION, and begin operations as part of this new organization.
ARCHION is a new commercial vehicle group jointly supported by Toyota Motor Corporation and Daimler Truck, each holding a 25% stake, aiming to strengthen competitiveness across the Asia‑Pacific region and beyond through collaboration in development, procurement, and production.
Building on Japan’s engineering excellence and our extensive global experience, MFTBC will continue to accelerate innovation in commercial vehicle development, advance carbon‑neutral initiatives, and drive CASE technologies including electrification and automated driving.
Under the new structure, we remain committed to shaping the future of commercial mobility and delivering safer, higher‑quality, and more environmentally friendly transportation solutions for customers around the world.
正社員／Permanent Contract
'- The CAE/Data Analytics department focuses on two main areas: Simulation (CAE) and data analytics. CAE uses computer-based models to perform simulations to check the feasibility of designs and improve product maturity before real-world testing. Data analytics enable R&D teams to transform vehicle and test data into insights that accelerate innovation, improve quality, and reduce development time
- We are looking for an engineer to work on HV Simulation & Data Analytics, which has a large impact on entire vehicle development.
- Data Analytics engineers are tasked with developing and maintaining data analytcis application for different data bases so as to enable engineers to make insights from vehicle data independently.
'- CAE/Data Analytics Department consists of three different teams: 1) Vehicle Structure Analysis, 2) Aerodynamics, Energy Management & Powertrain Functionality, 3) HV, Simulation Methods & Data Analytics. There are 27 members in total, which fosters a vibrant and collaborative environment.
- HV, Simulation Methods & Data Analytics consists of 1 Manager and 3 Staff members.
'1. Data Analytics
Design, develop, and maintain end‑to‑end data pipelines for vehicle testing and telematics data.
Develop and operate R&D data analytics applications in collaboration with IT teams.
Analyze large automotive datasets to generate actionable insights for performance, quality, and validation.
Define KPIs and analytics requirements with cross‑functional R&D stakeholders.
2. R&D Analytics Circle
Drive and coordinate the R&D Analytics Circle as a structured forum to promote collaboration and alignment across R&D teams.
Share information, application updates, use cases, and best practices related to the R&D Analytics application across R&D.
Promote effective adoption of the R&D Analytics application and enable data‑driven decision‑making within R&D teams.
3. HV System Simulation
Develop simulation methodologies and conduct analyses to support HV system development and integration for electric vehicles.
'- Bachelor/Master degree of Engineering is required.(Mechanical engineering course is preferable)
- Minimum 2 years hands on experience as data analyst or similar role.
-Hands on experience with Microsoft Azure Platform and solid understading of SQL/ Python..
- Experice with Matlab simulink and knowledge of electric vehicles.
- Possess excellent communication skills, teamwork skills, and a desire to grow.
Japanese : Beginner
Englishi：Business
本社／川崎製作所第一敷地
住所：神奈川県川崎市中原大倉町10番地
最寄駅１：東急東横線「元住吉」駅 および JR「新川崎」駅より無料シャトルバス運行
最寄駅２：JR「平間」駅より徒歩10分
その他：自動車／自転車／オートバイ通勤も可能
8:00-17:00 / 9:00-18:00
フレックスタイム制 ※コアタイム無し
リモートワーク可
年間休日：121日（2025年）
完全週休2日制（土曜、日曜）、祝祭日（会社カレンダーに準ずる）
年次有給休暇、慶弔休暇、産前産後育児休暇、介護休暇など
賞与：年2回支給
手当：通勤手当、モバイルワーク手当、残業手当、子供手当、住宅手当、退職金制度（DC pension）等 ※知識・経験を考慮して最終的に決定 ※残業手当など各種手当は別途支給
HQ／Kawasaki Plant 1st Premesis
Address: 10 Okura-cho, Nakahara-ku, Kawasaki-shi, Kanagawa Station 1: Company shuttle bus from Tokyu-Toyoko Line "Motosumiyoshi" station and HR "Shinkawasaki" station Station 2: Approx 10 min walk from JR "Hirama" station Others: Commuting by car, bicyle, or motor bike is also an option
8:00-17:00 / 9:00-18:00
Flexible working hours without "Core Time"
Mobile Work Polcy
Annual holiday: 121 days (2025)
Saturdays, Sundays and national holidays (Based on company calendar)
Paid holiday, Congratulatory and Condolence leave, Maternity leave, Nursing care leave etc...
Bonus : Twice a year
Allowance: Commuting, Mobile Work, Overtime, Child, Housing, DC pension etc..
*Salary will be decided based on knowledge and experience
*Allowances to be paid on top of the base salary