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Technical Program Manager, ML Developer Experience and Infrastructure Reliability

Mountain View, California, United States Full-Time Product 4556

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Technical Program Manager, ML Developer Experience and Infrastructure Reliability

  • 4556
  • On Site
  • Mountain View, California
  • Product
  • Full-Time
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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.

Waymo’s Technical Program Managers and Program Managers are accountable for Waymo’s roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies.

In this hybrid role, you will report to a Technical Program Management Director. 

You will:

  • Drive the "Golden Path" for ML: Lead cross-functional execution to define and invest in a simplified "golden path" for ML development for Onboard and Waymo Foundation Model (WaymoFM) development, targeting the reduction of friction and low reliability in the "inner loop"
  • Manage Reliability Operations: Ensure smooth day-to-day operations of the reliability triage ecosystem, keeping queues healthy through interaction with rotation members and driving automation of queue management
  • Program Implementation for Infra Stability: Drive "contract-based reliability" programs across Onboard domains
  • Bridge ML and Infra: Facilitate communication and alignment between ML research, infrastructure foundations, and onboard teams to resolve blockers in core workflows like root-causing brittle pipelines
  • Strategic Roadmap Tracking: Contribute to strategic planning and track project progress, risks, and KPIs related to ML developer productivity and infrastructure reliability for leadership reporting
  • Resolve Systemic Blockers: Proactively identify and resolve roadblocks in the ML development cycle, such as data fragmentation and complex tooling that currently hinders developer velocity

You have:

  • Technical Education: A Bachelor's degree in Computer Science, Engineering, or a related technical field
  • TPM Experience: 5+ years of experience as a Technical Program Manager in a software engineering or large-scale infrastructure environment
  • ML/Reliability Track Record: Proven track record of managing complex technical projects involving machine learning infrastructure, developer experience (DevX), or site reliability engineering (SRE)
  • Program Ownership: Experience owning and driving programs end-to-end, including managing timelines, risks, and dependencies across multiple senior stakeholders
  • Analytical Problem Solving: Strong analytical and technical judgment skills, with the ability to use data to diagnose and solve systemic engineering bottlenecks
  • Communication Mastery: Excellent communication and interpersonal skills, with a demonstrated ability to convey complex technical concepts to both researchers and infrastructure engineers

We prefer:

  • Advanced ML Operations: Experience with ML observability, root-causing production pipelines, and automating large-scale offline inference or model training experiments
  • Large-Scale Data Management: Background in managing multi-petabyte scale datasets, data validation frameworks, or unified data management solutions
  • Reliability Frameworks: Familiarity with contract-based reliability models, SLO management for autonomous systems, or reliability triage ecosystems
  • Developer Platforms: Experience building or managing "golden path" developer platforms or developer tooling that simplifies complex, fragmented tech stacks
  • Advanced Degree: Master's degree or PhD in a related technical field
  • Autonomous Domain Knowledge: Experience with simulation environments for autonomous systems, model validation strategies, or onboard/offboard infrastructure dependencies

 

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
$230,000—$292,000 USD

We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate’s qualifications, experience, and alignment with job requirements and business needs. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

Some of our Benefits

Health and wellness

Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs.

Financial wellness

Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts.

Flexibility and time off

Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave. 

Supporting families

When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include 26 weeks of paid leave for birthing parents and 18 weeks of paid leave for non-birthing parents.

Community and personal development

At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.

Cool perks

Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.

Ready to Apply?