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Woven Planet

Senior Engineering Manager, Enterprise AI

Tokyo, Japan Remote Hybrid
TypeScript Kubernetes Machine Learning AWS GCP Terraform Go Python
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Description
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.

TEAM
Enterprise 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 Software Engineer in the Enterprise AI - Cloud infrastructure 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 robust, scalable machine learning platform

WHO ARE WE LOOKING FOR
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 Enterprise AI and allow the latest solutions for machine learning model development lifecycle. This is a hybrid role requiring your presence onsite 3 days per week, where you will report to a director of the engineering team.

RESPONSIBILITIES

  • Lead the entire team
  • Work together with the member and other team leadership/product team to lead the product roadmap
  • Ensure organizational health through goal setting, progress monitoring, and promoting the growth and training of team members
  • Manage resources such as personnel, tools, budget, etc., ensuring allocation for the success of the project
  • Collaborate with team members to deliver a scalable platform that supports our machine learning efforts
  • Improve our distributed architecture, design new services and solutions, and build and track metrics to ensure the highest quality of development

MINIMUM QUALIFICATIONS

  • Degree in Computer Science or related technical discipline, or related practical experience.
  • 7+ years of professional software development with 3+ years of experience managing a technical team and working with the product team
  • Design, communicate, and build new features to meet the needs of customers both inside and outside of Woven Planet
  • Experience with event-driven, distributed and cloud architectures with agile scrum development workflow. Familiarity with cloud environments and IaC (ex. AWS, GCP, Terraform)
  • Experience with CI/CD tools, test automation, build tools development

NICE TO HAVES

  • Experience building large distributed applications with Go, Python, and TypeScript services, using a variety of databases
  • Experience building cloud-agnostic tools using Kubernetes and Go
  • Knowledge of MLOps, DevOps or GitOps workflows, setting up automation infrastructure using modern tools
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.
Woven Planet
Woven Planet
Artificial Intelligence (AI) Automotive Autonomous Vehicles Software

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