Woven Planet is hiring a

Senior Software Engineer, Arene AI Cloud Application

Full-Time
Woven Planet is building mobility for a safer, happier and sustainable world. A subsidiary of Toyota, Woven Planet innovates and invests in new technologies, software, and business models that transform how we live, work and move. With a focus on automated driving, smart cities, robotics and more, we build on Toyota's legacy of trust and safety to deliver mobility solutions for all. 

For nearly a century, Toyota has been delivering products and services that improve lives. Automation that originated to increase the efficiency of daily activities has evolved into the safe, reliable, connected automobiles we enjoy and depend on today. Now, we are looking to the next 100 years and to extending that dream for a better life for all people from cars to smart cities. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. The complementary strengths enable us to optimize safety, advance clean energy and elevate well-being.  We envision a human-centered future where world-class technology solutions expand global access to mobility, amplify the capabilities of drivers, and empower humanity to thrive.

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 application 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 and provide seamless experience.

We are looking for candidates who are willing to work with a team and passionate about building customer-centric tools and frameworks as cloud services to enable cutting-edge solutions for machine learning model development lifecycle. 

RESPONSIBILITIES

  • Define architecture and its plan to build Arene AI services
  • Lead implementation of critical systems while maintaining reliability
  • Work with Product to design new features to meet the requirements
  • 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

MINIMUM QUALIFICATIONS

  • Bachelor's degree in Computer Science or equivalent
  • Strong experience with cloud-based microservice architecture and event-driven architecture
  • Strong experience with API design, service telemetry, security, containerization best practices for scalability, reliability, composition and management
  • Experience with databases and blob storages
  • Experience with Python, Golang or related programing languages 
  • Understanding of DevOps best practices
  • Excellent communication skills and teamwork spirit

PREFERRED SKILLS

  • Customer-centric, with a “Can-Do” attitude
  • 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.

WHAT WE OFFER
・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:

[OUR COMMITMENT]
・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.

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