<div><b><span>About Woven by Toyota</span></b></div><div><a href="https://woven.toyota/en">Woven by Toyota</a><span> is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.</span></div><div><br /></div><div><span>Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud &amp; AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.</span></div><div><br /></div><div>=========================================================================</div><div><br /></div><div><b>TEAM</b></div><div><span>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.</span></div><div><br /></div><div><span>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.</span></div><div><br /></div><div><b>WHO ARE WE LOOKING FOR?</b></div><div><span>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.</span></div><div><br /></div><h3>RESPONSIBILITIES</h3><ul><li>Design, build, maintain, optimize and support large scale, multi-region, multi-cloud compute infrastructure powering our platform and mission critical services</li><li>Work with other teams to optimize infrastructure usage and build efficient solutions for complex tasks, using English to collaborate</li><li>Mentor junior engineers in their day to day work and drive best practices across the organization</li><li>Contribute to the long term strategy for several of our systems and products</li><li>Provide support such as analysis and monitoring, and act as part of the team for on-call responsibility for production incidents</li><li>Help to onboard new customers, accommodate their technical needs and answer engineering question in the support channel</li></ul><h3>MINIMUM QUALIFICATIONS</h3><ul><li>Bachelors degree in computer science or equivalent experience</li><li>5+ years in programming, with experience using Golang, Rust, Java or other statically typed and compiled programming languages</li><li>3+ years experience with event-driven, distributed, and cloud architectures</li><li>3+ years experience with Terraform, Docker, cloud-native technologies, networking and Kubernetes in production</li><li>Ability to debug &amp; optimize code, to troubleshoot distributed systems and to automate routine tasks</li><li>Experience designing, deploying, monitoring and maintaining large-scale, fault-tolerant multi-region and/or multi-cloud distributed systems</li></ul><h3>NICE TO HAVES</h3><ul><li>Experience with Kserve, Knative and or Istio</li><li>Experience with ML Ops</li><li>Experience working with Japanese customers or clients</li><li>Experience in the automotive industry or knowledge of automotive software development</li><li>Experience working in environments with a focus on security and reliability</li><li>Background in OTA, IoT or automotive hardware</li></ul><div>=========================================================================</div><div><b>Important Points</b></div><div><span>・All interviews will be arranged via Google Meet, unless otherwise stated.</span></div><div><span>・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.</span></div><div><span>・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.</span></div><div><br /></div><div><b>WHAT WE OFFER</b></div><div><span>・Competitive Salary - Based on experience</span></div><div><span>・Work Hours - Flexible working time</span></div><div><span>・Paid Holiday - 20 days per year (prorated)</span></div><div><span>・Sick Leave - 6 days per year (prorated)</span></div><div><span>・Holiday - Sat &amp; Sun, Japanese National Holidays, and other days defined by our company</span></div><div><span>・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance</span></div><div><span>・Housing Allowance</span></div><div><span>・Retirement Benefits</span></div><div><span>・Rental Cars Support</span></div><div><span>・In-house Training Program (software study/language study)</span></div><div><br /></div><div><b>Our Commitment</b></div><div><span>・We are an equal opportunity employer and value diversity.</span></div><div><span>・Any information we receive from you will be used only in the hiring and onboarding process. Please see our </span><a href="https://woven.toyota/en/applicant-privacy-notice">privacy notice</a><span> for more details.</span></div>

Woven Planet

Senior Software Engineer, ML Inference Platform, Enterprise AI

Woven Planet