Senior Software Engineer, Arene AI Cloud Infrastructure

Woven Planet

  • Full Time

Woven Planet Group (Woven Planet) represents a carefully curated blend of expertise and resources dedicated to bringing the vision of “Mobility to Love, Safety to Live” to life. Through innovations and investments in automated driving, robotics, smart cities, and more, we are transforming how humankind lives, works, and moves. We exist to design, build, and deliver secure, connected, and sustainable mobility solutions that benefit all people worldwide. Founded in 2018 as Toyota Research Institute – Advanced Development (TRI-AD), Woven Planet is composed of four complementary companies: Woven Planet Holdings, Woven Core, Woven Alpha, and Woven Capital.

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Arene AI is an AI platform that provides end to end machine learning tooling experience to support and accelerate machine learning development, including autonomous driving and other related projects. 

As a Senior Software Engineer in the Arene AI – Cloud infrastructure team, you will work alongside machine learning engineers not only within Woven Planet Holdings but throughout the Toyota Group and its vendors to build a robust, scalable machine learning platform

We are looking for candidates who are willing to work with a team and  passionate about building efficient tools and frameworks to support workloads of Arene AI and enable cutting-edge solutions for machine learning model development lifecycle.




  • Define architecture and its plan to build robust, scalable, distributed systems for Arene AI
  • Lead implementation of critical systems while maintaining reliability
  • Work with other teams to maximize infrastructure usage and build efficient solutions for heavy tasks
  • Collaborate with other teams in Woven Planet Holdings to integrate services in machine learning model development lifecycle
  • Work closely with team mates to establish and improve development standards
  • Implement CI/CD best practices for our services. 
  • Analyze and monitor our services



  • Bachelor’s degree in Computer Science or equivalent
  • Strong experience with kubernetes in production and container technologies
  • Strong experience with event-driven, distributed and cloud architectures
  • Experience with Python, Golang or related programing languages 
  • Knowledges of best practices for scalability, reliability and security
  • Understanding of DevOps best practices
  • Excellent communication skills and teamwork spirit



  • Experience with databases and blob storages 
  • Familiarity with Kubeflow or Flyte
  • Production system management, monitoring and analysis
  • Understanding of machine learning development life cycle


    If you are currently located outside of Japan, don’t worry, we’ll set an interview over Google Hangout Meet or Skype.
    ・Competitive Salary – Based on skills and experience
    ・Work Hours – Flexible working time with NO core-hours
    ・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 the company
    ・Japanese Social Security – all applicable (Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance)
    ・In-house Training Program (software study/language study)
    By submitting your application you agree to the following terms:
    ・We are an equal opportunity employer and value diversity.
    ・We pledge that any information we receive from candidates will be used ONLY for the purpose of hiring assessment.