ABOUT WOVEN PLANET GROUP
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.
Visit us to learn more: https://www.woven-planet.global/
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.
RESPONSIBILITIES
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
MINIMUM QUALIFICATIONS
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
PREFERRED SKILLS
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.
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.
