Senior Software Engineer, Training Efficiency

Waymo; Mountain View (CA); On-site; USD 204,000 - 259,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous Company benefits program

Job summary

A leading autonomous driving technology company in Mountain View is seeking an experienced professional to enhance ML infrastructure for training workloads. Responsibilities include designing distributed input data pipelines and collaborating with research teams to optimize systems. Candidates should have a strong background in Python and C++, as well as experience with ML frameworks like TensorFlow. This role offers competitive salary and benefits.

Qualifications

• B.S. in Computer Science, Math, or equivalent real-world experience.
• Solid programming skills in Python and C++.
• Hands-on experience with ML frameworks.

Responsibilities

• Design and improve distributed input data pipelines for ML workloads.
• Collaborate with researchers to resolve bottlenecks.
• Promote best practices for distributed systems architecture.

Skills

Distributed systems design

ML data pipeline optimization

Proficient in TensorFlow

Proficient in JAX

Python programming

C++ programming

Education

B.S. in Computer Science or Math

MS in Computer Science or Math (preferred)

Tools

ML Pathways

Grain

tf.data service

Job description

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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ 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 at Google. They 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 TensorFlow.


• 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 8+ years equivalent real-world experience.


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


• Experience with ML frameworks, including TensorFlow 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

$204,000—$259,000 USD