Senior Software Engineer, Training Efficiency

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 Waymo ML Infrastructure team works with Research and Production teams to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best solutions for the entire model development lifecycle. These solutions are developed in close collaboration with teams y are geared towards both scaling models and solving problems unique to ML for autonomous driving.

You will improve the runtime efficiency of input data pipelines for large-scale training workloads. This is a unique opportunity to work on ML systems and improve on our model training processes.

You Will:

* Design, and improve distributed input data pipelines for large-scale ML training workloads.

* Collaborate with researchers and ML engineers to resolve bottlenecks in data pipeline performance.

* Improve runtime goodput of ML training workload, including optimizing input data processing systems, ensuring scalability and reliability across distributed environments.

* Implement and maintain advanced ML infrastructure tools, including ML Pathways, Grain, JAX, and Tensor Flow.

* Evaluate and integrate modern technologies to enhance the performance and scalability of ML systems.

* Promote best practices for distributed systems architecture and contribute to technical leadership within the team.

You Have:

* B.S. in Computer Science, Math, or 5+ years equivalent real-world experience.

* Proficient in distributed systems design with an understanding of ML data pipeline optimization.

* Experience with ML frameworks, including Tensor Flow and JAX.

* Hands-on experience libraries like Grain or tf.data service.

* Solid programming skills in Python and C++.

* Practical familiarity with profiling tools to uncover performance bottlenecks.

We Prefer:

* MS in Computer Science, Math

* Familiarity with distributed dataflow frameworks like ML Pathways

#LI-Hybrid

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

$238,000-$302,000 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 waym (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.)