Senior Software Engineer, Training Platform

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.

View all jobs at Woven by Toyota

Apply now Apply later

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 
Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.
TEAMEnterprise AI is a 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 Software Engineer in the Enterprise AI - Training Platform team, you will work with machine learning engineers not only within Woven by Toyota but throughout the Toyota Group and its vendors to build a scalable machine learning platform.
WHO ARE WE LOOKING FORWe are looking for experienced developers who are excited to build tools and frameworks to support AI workloads and ensure solutions for the machine learning model development lifecycle. This is a hybrid role requiring your presence onsite 3 days per week, where you will report to the senior engineering manager.

RESPONSIBILITIES:

  • Define architecture and plan to build scalable, distributed systems
  • Implement critical systems while maintaining reliability
  • Work with other teams to maximize infrastructure usage and build efficient solutions for complex tasks, using English to collaborate
  • Implement CI/CD best practices for our services, and improve development standards together with the team
  • Provide support such as analysis and monitoring as part of the L2 team for on-call responsibility about 1x per month, during working hours, for production incidents

MINIMUM QUALIFICATIONS:

  • Bachelor's degree in computer science or equivalent experience
  • 5+ years in programming, with significant experience using Python, Golang, or related programming languages
  • 1+ years with Kubernetes and container technologies in production environments, especially event-driven, distributed, and cloud architectures
  • Knowledge of best practices for scalability, reliability, and security and DevOps best practices

NICE TO HAVES:

  • Working knowledge of cloud infrastructure (e.g. AWS, GCP)
  • Experience with databases and blob storage
  • Familiarity with Kubeflow or Flyte
  • Understanding of machine learning development life cycle
All interviews will be arranged via Google Meet, unless otherwise stated.
WHAT WE OFFER・Competitive Salary - Based on 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 our 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)
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.
Apply now Apply later
  • Share this job via
  • 𝕏
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  0  0

Tags: Architecture Autonomous Driving AWS CI/CD Computer Science DevOps Distributed Systems Engineering GCP Golang Kubeflow Kubernetes Machine Learning ML models Privacy Python Security

Perks/benefits: Career development Competitive pay Flex hours

Region: Asia/Pacific
Country: Japan

More jobs like this