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Waymo Software Engineer Jobs (NOW HIRING)

Staff Software Engineer, DevAI 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 ...

Staff Software Engineer, DevAI 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 ...

Senior Software Engineer, DevAI

Manhattan, NY · On-site +1

$213K - $263K/yr

Senior Software Engineer, DevAI 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 ...

Staff Software Engineer, DevAI

Manhattan, NY · On-site +1

$251K - $310K/yr

Staff Software Engineer, DevAI 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 ...

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Waymo Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do waymo software engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for waymo software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Waymo Software Engineer vs Waymo Data Scientist?

AspectWaymo Software EngineerWaymo Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentDevelops and maintains autonomous vehicle software systemsAnalyzes data to improve autonomous vehicle algorithms and safety
Employer & Industry UsageTech companies, automotive industry, autonomous vehicle developmentTech companies, automotive industry, AI and machine learning applications

Waymo Software Engineers focus on building and maintaining the software systems that power autonomous vehicles, while Waymo Data Scientists analyze large datasets to optimize algorithms and improve safety. Both roles require strong technical skills and are integral to autonomous vehicle development, but they differ in their core responsibilities and daily tasks.

Infographic showing various Waymo Software Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, and 98% Full Time. Highlights an 2% Physical, and 98% Hybrid job distribution, with an average salary of $147,524 per year, or $70.9 per hour.
Software Engineer, Bulk/Interactive Inference

Software Engineer, Bulk/Interactive Inference

Waymo

Mountain View, CA • Hybrid

Other

Posted 18 days ago


Job description

The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.

We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.

In this hybrid role, you will report to the Head of ML Platform- Senior Staff Software Engineer.

You will:

  • Develop Waymo's inference platform to make it scalable, high throughput, and low latency
  • Work closely with other teams across Waymo in hosting both internal and external ML models, including LLMs
  • Improving the efficiency of running inference on these large models to increase throughput and save cost
  • Deploy and integrate model inference solutions across a variety of use cases, such as distillation, eval, dataset generation, active learning, and auto-labeling

You have:

  • 2+ years of professional experience in the field of software engineering
  • Experience in programming C++
  • Experience with building highly scalable distributed system

We prefer:

  • Passionate about building internal infra and tools
  • Experience with building model hosting and inference solutions
  • Experience with handling datasets in the order of exabytes

#LI-Hybrid