ZipRecruiter

Log In

Waymo
Waymo

60 Waymo Senior Infrastructure Engineer Jobs Hiring Near You

previous page

Showing results 41-60

All JobsWaymo JobsWaymo Senior Infrastructure Engineer Jobs

Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.

What other companies are hiring for Senior Infrastructure Engineer jobs?

What are the most popular jobs at Waymo?

What are the most popular categories at Waymo?

Infographic showing various Senior Infrastructure Engineer job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% Physical, 25% Hybrid, and 3% Remote job distribution.

Senior Software Engineer, ML Evaluation Infra and Efficiency

Waymo

Mountain View, CA • On-site

$238K - $302K/yr

Full-time

Re-posted 7 days ago

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'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 Frameworks & Efficiency team partners closely with Research and Production teams across Waymo to develop and deploy models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including training and evaluation. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving.
We are looking for engineers with ML system expertise to help us train, evaluate and improve pre-trained models to be deployed into Waymo Driver, and potential future products. You'll work closely with researchers and modeling engineers across the company, and tackle the challenges of different evaluation scenarios for Waymo drivers, building large-scale evaluation platforms that can scale across compute, data, and environments to improve model intelligence and alignment with human drivers.
You Will:
  • Design and build distributed evaluation platforms for large-scale ML evaluation workloads.
  • Profile evaluation platforms, identify performance bottlenecks (CPU, memory, I/O, network), and implement optimizations to improve inference speed and resource utilization.
  • Collaborate with ML engineers to understand evaluation requirements and scenarios, and improve DevX of the evaluation infrastructure.
  • Improve runtime goodput of ML inference workload and efficiency of metrics computations, ensuring scalability and reliability across distributed environments.
  • Implement and maintain advanced ML infrastructure tools, including ML Pathways, JAX, Flume and TensorFlow.

You Have:
  • B.S. in Computer Science, Math, or 3+ years equivalent real-world experience.
  • Proficient in distributed systems design with an understanding of ML efficiency.
  • Experience with ML frameworks, including TensorFlow, JAX, XLA.
  • 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 large-scale evaluation platforms for LLMs.

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

Apply