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Staff Software Engineer/ Tech Lead - Onboard Model Consolidation

Mountain View, California, United States Full-Time Software Engineering 4976

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Staff Software Engineer/ Tech Lead - Onboard Model Consolidation

  • 4976
  • On Site
  • Mountain View, California
  • Software Engineering
  • 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.

The Architecture & ML Integration (AMI) team sits within SIML and focuses on horizontal, cross-cutting challenges spanning Waymo's end-to-end system. Our mission is to enable rapid evolution towards an ML-first architecture that is modular, flexible, and easy to experiment with. We do this by improving onboard software architecture, system debuggability, and developer experience through better API designs and comprehensive pipelines. The AMI team drives the convergence of Planner and Perception systems and tackles critical shared infrastructure components

 

You will:

  • Have 8+ years of professional software development experience on large scale products
  • Lead the software architecture and infrastructure development for onboard model consolidation across many onboard subsystems.
  • Design and build an onboard framework to support flexible and efficient model integration and inference in Waymo’s onboard and simulation environments.
  • Spearhead the alignment and unification of model’s data generation subsystem between model training data preparation and model inference.
  • Develop Simulation solutions to enable robust testing and efficient evaluation/validation to enable good developer experience for consolidated model development.
  • Embedded deeply with model teams to drive the productionization of unified models.
  • Establish new software development best practices and technologies to accelerate model development and releases.

 

You have:

  • BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
  • Extensive experience designing and building large-scale, high-performance C++ software architecture for mission-critical systems or ML inference.
  • Proven track record of leading complex, cross-functional engineering projects as a technical lead.
  • Deep understanding of ML deployment, inference frameworks, and associated developer tooling.
  • Good communication and collaboration skills working with cross-org partner teams

 

We prefer:

  • Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field.
  • Experience with data pipelines and feature extraction for machine learning models.
  • Prior experience in the autonomous driving industry, particularly focusing on onboard compute, perception, or planning systems.
  • Experience with hardware accelerators (e.g., TPUs, GPUs) and ML models inference in edge/onboard environments.

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
$251,000—$310,000 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.

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