Backend Engineer, ML Inference, Enterprise AI Full-time

About Woven by Toyota

Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

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 Inference team is dedicated to democratizing AI across Toyota. By focusing on simple UX we are working to make AI discoverable and accessible to people with a variety of technical backgrounds. Our work helps to bring intelligent automation into the car development and manufacturing process.

WHO ARE WE LOOKING FOR?

We are looking for experienced developers who are excited to build tools and frameworks to support AI workloads and enable solutions for the tail end of the machine learning 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 the plan to build scalable, distributed systems
• Implement critical systems and business logic while maintaining reliability
• Work with other teams to maximize infrastructure usage and build efficient solutions for complex tasks, using English to collaborate
• As an experienced developer, establish automation and CI/CD to increase development velocity
• Provide support such as analysis and monitoring, and act as part of the team for on-call responsibility for production incidents
• Help to onboard new customers, accommodate their technical needs and answer engineering question in the support channel

MINIMUM QUALIFICATIONS

• Bachelor’s degree in computer science or equivalent experience
• 5+ years in programming, with experience using Golang, Rust, Java or other statically typed and compiled programming languages
• 2+ 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

• Experience working with Japanese customers or clients.
• Experience in the automotive industry or knowledge of automotive software development
• Experience working in environments with a focus on security and reliability

Important Points
• All interviews will be arranged via Google Meet, unless otherwise stated.
• The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
• We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER
• Competitive Salary – Based on experience
• Work Hours – Flexible working time
• 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 Insurance – Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
• Housing Allowance
• Retirement Benefits
• Rental Cars Support
• 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.