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Senior Software Engineer, Model Data Infra

Mountain View, California, United States Full-Time Software Engineering 3885

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Senior Software Engineer, Model Data Infra

  • 3885
  • On Site
  • Mountain View, California, United States
  • Software Engineering
  • Full-Time

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.

Within the Perception organization, the Semantics team is comprised of three specialized subgroups, each solving a critical aspect of scene understanding. The Vulnerable Road Users (VRUs) subgroup, we focus on identifying and interpreting the behavior of pedestrians, cyclists, and other vulnerable road users to enhance safety and rider comfort. The Traffic Control subgroup, we are dedicated to developing and deploying advanced ML models that interpret traffic lights, signs, and other controls, with an important focus on improving map robustness. The Scene Semantics subgroup, we address the complexities of unstructured environments like construction zones and emergency scenes, driving architectural upgrades and new feature development. Together, we use end-to-end ML expertise to build perception systems essential for safe and efficient autonomous operation.

In this hybrid role, you will report to the Senior Engineering Manager of Semantics.

You Will:

  • Develop and implement new features in the VLM data infra and validate the changes for the model platform to support the continuing scaling of VLM data needs.
  • Identify issues in the data infra. Collaborate with ML infrastructure teams and the modeling team to address issues and bottlenecks and refine validation.
  • Understand the data needs of the model platform and design scalable infra solutions that support model improvement and product expansion.

You Have:

  • A degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in the field of software engineering
  • Proficiency in C++
  • Experience designing distributed systems processing data at scale
  • Passionate about building world-class ML infrastructure

You Will:

  • Design & Scale ML data infra
  • Implement data compliance and data governance solutions

#LI-Hybrid

This is a hybrid remote/in-office role.

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
$204,000—$259,000 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?

 

To ensure thorough consideration of each application, candidates may submit up to 5 job applications within a 60-day period. We encourage you to carefully review job descriptions and apply to positions that best match your skills. Applications beyond this limit will not be considered.

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