Software Engineer, Enterprise AI

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 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. Our platform serves customers as a standardized machine learning platform within Woven by Toyota as the larger Toyota Group companies.

The Enterprise AI Multi HybridCloud team enables cloud vendor-agnostic capabilities. As we scale out to more customers across different regions, the Multi HybridCloud team will build a scalable and cost-efficient multi-cloud infrastructure. . You will allow model training and  data distribution across multiple cloud providers ensuring the best compute resources are used.

WHO ARE WE LOOKING FOR?

As the team lead of the Enterprise AI Multi HybridCloud team you will help to grow and nurture the team and deliver value to our customers and business.  You have a solid technical background coupled with leadership experience managing production teams focused on building and maintaining a reliable customer experience. You will have knowledge of Cloud technologies, processes and best practices and work with our other engineering teams to improve our products and services.

• Support for architectural design and execution planning to ensure stable service delivery using a variety of cloud vendor platforms
• Provide implementation of optimal mechanisms for machine learning job across multiple regions and platforms in terms of data transfer
• Work with other teams to maximize infrastructure usage and build efficient solutions for complex tasks, using English to collaborate
• As a developer, establish and improve development standards together with the team
• Implement CI/CD best practices for our services
• Provide support such as analysis and monitoring, and act as part of the team for on-call responsibility for production incidents

• 8+ years of experience in software engineering, with at least 2 years in a leadership role
• Experience managing and shipping production software for external clients or customers
• Experience with Golang development (especially for cloud services)
• Experience with cloud development (GCP, AWS, Azure) and Kubernetes clusters
• Business level English or higher

• Experience working with Japanese customers or clients
• Experience in the automotive industry or knowledge of automotive software development (e.g., ASPICE, V-model)
• Experience working in environments with a focus on security and safety
• English/Japanese bilingual ability

The base pay for this position ranges from $140,000- $230,000 a year.

Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

・Excellent health, wellness, dental and vision coverage

・A rewarding 401k program

・Flexible vacation policy

・Family planning and care benefits

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.