Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The DTS team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes

In this hybrid role, you will report to a Senior Manager, Supply Chain & GTM Systems

You will:

Strategize and define the roadmap for AI-driven solutions across the organization
Lead technical discussions to translate business requirements into scalable AI architectures and system designs
Collaborate with cross-functional partners to integrate AI solutions into existing business workflows and decision-making processes
Evaluate and select appropriate AI/ML technologies, platforms and frameworks to meet specific business needs
Drive best practices in AI solution development and engineering

You have:

BS degree in Computer Science, or a related technical field, or equivalent practical experience
5+ years of software engineering experience with a focus on building and shipping AI/ML products
Proven track record of designing and implementing complex AI solutions that deliver measurable business value
Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms
Experience leading technical strategy and architectural decisions for data-intensive applications
Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders

We prefer:

Master’s in Computer Science, Artificial Intelligence, or related field
Experience with Generative AI (LLMs) and its application in enterprise business intelligence
Background in data engineering or data warehousing principles
Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment
Experience with business intelligence tools and dashboarding technologies

((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$158,000—$200,000 USD

GenAI Engineer