Senior Software Engineer, Enterprise AI - Cloud

Senior Software Engineer, Enterprise AI - Cloud

Palo Alto, CA / Product & Technology - Enterprise Technology / Employee / hybrid

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 alongside 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 are passionate about building efficient tools and frameworks to support workloads of Enterprise AI and enable cutting-edge 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 an Engineering Manager.

RESPONSIBILITIES

• Define architecture and its plan to build robust, scalable, distributed systems for Enterprise AI.
• Lead implementation of critical systems while maintaining reliability.
• Work with other teams to maximize infrastructure usage and build efficient solutions for heavy tasks.
• Collaborate with other teams in Woven by Toyota to integrate services in the machine learning model development lifecycle.
• Work closely with teammates to establish and improve development standards.
• Implement CI/CD best practices for our services.
• Analyze and monitor our services.
• Respond to incidents and take on-call for systems in production.

MINIMUM QUALIFICATIONS

• Bachelor's degree in computer science or equivalent.
• Strong experience with Kubernetes in production and container technologies.
• Strong experience with event-driven, distributed, and cloud architectures.
• Experience with Python, Golang, or related programming languages.
• Knowledge of best practices for scalability, reliability, and security.
• Understanding of DevOps best practices.
• Ability to speak business-level English with a collaborative spirit for effective stakeholder partnerships.

NICE TO HAVES

• Experience with databases and blob storage.
• Familiarity with Kubeflow or Flyte.
• Production system management, monitoring, and analysis.
• Understanding of the machine learning development lifecycle.
• Working knowledge of cloud infrastructure (e.g., AWS, GCP).

For California: 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.

・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.