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Woven

Software Engineer, Enterprise AI

Woven, Ann Arbor, Michigan, us, 48113

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Senior Software Engineer, Enterprise AI - ML Training Palo Alto, CA / Ann Arbor, MI / Product & Technology - Cloud & AI / Employee / hybrid

Woven by Toyota 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.

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 & 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.

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 ML Training team is dedicated to developing and optimizing Machine Learning Models and training environments. They focus on creating scalable solutions for various Machine Learning tasks, including large‑scale simulations and deep learning projects. The team collaborates closely with other Enterprise AI teams to ensure seamless integration and support for Machine Learning development across Woven, the Toyota Group, and related companies.

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 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 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

Responding to incidents and taking on‑call for systems in production

MINIMUM QUALIFICATIONS

Bachelor’s degree in computer science, AI/ML, or related & 5 or more years of relevant work experience

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 machine learning development life cycle

Working knowledge of cloud infrastructure (e.g., AWS, GCP)

For positions based in Palo Alto, CA, 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.

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