Software Architect, Data Engineering, Arene SDK Vehicle Data Team

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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About Woven by ToyotaWoven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.
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Your Role in Our VisionArene is a transformative software platform that enables the rapid development, deployment, and continuous improvement of software-defined vehicles. Our data platform provides a secure and scalable cloud infrastructure for data generated during the development of these vehicles, empowering data-driven decisions and accelerating product innovation. We are dedicated to supporting the Toyota Production System, driving customer value, and reducing time-to-market.
As part of this mission, you will collaborate closely with the Arene SDK Vehicle Data Team, playing a pivotal role in driving and implementing their software architecture, and enabling the next generation of autonomous driving technologies.
Who We're Looking ForWe're looking for an experienced Data Engineering Architect with a deep understanding of data systems, cloud infrastructure, and a strong grasp of machine learning and autonomous driving technologies. You should be an expert in designing and implementing data-intensive applications and comfortable navigating complex technical and organizational landscapes to deliver high-impact solutions.
Reporting to the Senior Engineering Manager, this hybrid role allows you to enjoy the best of both worlds—collaborating with talented colleagues in the office at least three days a week while benefiting from flexible working arrangements.

KEY RESPONSIBILITIES

  • Shape the Future of Data-Driven Mobility: Architect and implement advanced frameworks for data engineering, databases, stream processing, and cloud infrastructure, enabling cutting-edge autonomous driving capabilities.
  • Lead Architectural Excellence: Develop high-level product specifications and design documents in collaboration with tech leads, product managers, and engineers, ensuring alignment with Arene's Chief Engineer Office and adherence to best practices.
  • Innovate Through Prototyping: Create Proofs of Concept (POCs) to validate architectural decisions and reduce risks, guiding teams towards successful implementation.
  • Support & Guide: Work closely with development teams throughout the Software Development Life Cycle (SDLC), providing technical guidance and ensuring the software product meets both functional and non-functional requirements.
  • Champion Best Practices: Define and implement "fitness functions" for your software product to systematically validate its quality, and drive consensus on engineering practices and architecture decisions across teams.
  • Hands-On Contribution: Write, test, debug, and optimize software, leveraging your deep technical expertise to support the engineering team in delivering high-quality solutions.

MINIMUM QUALIFICATIONS

  • Educational Foundation: Bachelor's degree in Computer Science or a related field (Master's preferred).
  • Extensive Experience: Over 10 years of proven experience in designing and implementing data-intensive applications and evolutionary architectures.
  • Technical Proficiency: Expertise in Python, Java/Kotlin, JS/TS, Terraform, AWS, Kubernetes, or similar technologies.
  • Analytical & Strategic Mindset: Ability to see the big picture while delving into the details, with a deep understanding of data structures, algorithms, and modern software development practices.
  • Inclusive & Empathetic Leadership: Skilled at navigating technical, business, and organizational challenges, you bring a collaborative and empathetic approach to leadership.
  • Cultural Awareness & Openness: Passionate about working in multicultural teams and valuing diverse perspectives.

NICE TO HAVES

  • Experience with Autonomous Driving (AD/ADAS) systems, MLOps, Vector Databases, and related technologies.
  • Knowledge of data regulations (e.g., GDPR), data privacy, and data governance.
  • Proficiency in describing software architectures using UML and SysML.
  • Ability to mentor and grow engineering teams.
  • Japanese communication skills are a plus.
=========================================================================Important Points・All interviews will be arranged via Google Meet, unless otherwise stated.・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
WHAT WE OFFER・Competitive Salary - Based on experience・Work Hours - Flexible working time・Paid Holiday - 20 days per year (prorated)・Sick Leave - 6 days per year (prorated)・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance・Housing Allowance・Retirement Benefits・Rental Cars Support・In-house Training Program (software study/language study)
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Autonomous Driving AWS Computer Science Data governance Engineering Java Kubernetes Machine Learning MLOps Privacy Prototyping Python SDLC Terraform

Perks/benefits: Career development Competitive pay Flex hours Health care Startup environment

Region: Asia/Pacific
Country: Japan

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