Woven Planet

Tool Developer for Generative AI

Tokyo, Japan Remote Hybrid
Python API C++
Description
About Woven by Toyota
Woven 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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TEAM
Arene’s mission is to simplify vehicle software development and increase developer agility by crafting tools and processes which enable novel uses of vehicles without compromising safety. 

Product Architecture team’s mission is to lead global technical activities such as high level requirements, architecture and validation, through harmonized processes and tools. To deliver “Arene” with the desired Quality, Cost and Delivery (QCD) to Toyota, it is crucial to align our development plans, processes and products with Toyota’s products life cycle. We are developing tool as product team to conceptualize and derive requirements throughout this activity.

WHO ARE WE LOOKING FOR? 
We are looking for Tool Development Engineers who are excited about helping build the best in class “software first” automotive platform. We envision the Arene platform will change the way vehicles are made. Ideally you would be familiar with the challenges associated with the automotive software lifecycle and are motivated to solve them. 

RESPONSIBILITIES
You will work with a highly collaborative and interdisciplinary team on the Arene implementation that will enable rapid development and update of vehicle software.
・Develop tools using generative AI technologies
・Work with stakeholders to understand customer needs and problems
・Derive high level requirement for tools and define operation plan including migrations
・Quality as proof of concept level so that we can test not only internal stakeholders but also external stakeholders
・Provide user documentation and support and maintenance of tools

MINIMUM QUALIFICATIONS

  • Bachelor's degree in Engineering
  • Knowledge of Requirements Management best practices and of at least one requirement management tool, e.g. DOORS, JAMA
  • Programming languages: C, C++, Python (especially Python)
  • Program experience using generative AI API e.g. Open AI
  • Business level English proficiency
  • Japanese language proficiency (N1)

NICE TO HAVES

  • Experience as a Requirements Engineer in the Automotive industry or other safety critical industries
  • Exposure to Model Based System Engineering (MBSE) 
  • Familiarity with the ISO 26262, SOTIF, or other standards for functional safety
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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.
Woven Planet
Woven Planet
Artificial Intelligence (AI) Automotive Autonomous Vehicles Software

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