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Full Time Waymo Engineering Jobs (NOW HIRING)

... Waymo Driver internals. Qualifications : Required : • 3+ years of full-time software engineering experience, or a quantitative PhD with software engineering experience • C++ proficiency • ...

Senior Android Engineer

Mountain View, CA · On-site

$175K - $215K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... In this hybrid role, you will report to an Engineering Manager. You will: * Work on the software ...

... Data Engineering team, aligning with Waymo's goals. * Oversee the design, development, and ... The expected base salary range for this full-time position across US locations is listed below.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software ... Experience with C++ #LI-Hybrid The expected base salary range for this full-time position across US ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... An interest and enthusiasm for distributed systems, production engineering, and rapidly developing ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... BA/BS degree in Computer Science, Electrical Engineering, or a relevant technical field, or ...

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Showing results 21-40

Full Time Waymo Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do full time waymo engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time waymo engineering in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Waymo Engineering vs Full Time Waymo Software Engineer?

AspectFull Time Waymo EngineeringFull Time Waymo Software Engineer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience in autonomous vehicle systemsBachelor's or higher in Computer Science, Software Engineering, or related field; proficiency in programming languages like C++, Python
Work EnvironmentDesigning, testing, and deploying autonomous vehicle systems in lab and real-world settingsDeveloping, coding, and debugging software components for autonomous vehicles
Employer & Industry UsageUsed across autonomous vehicle development teams at WaymoPart of software development teams within Waymo's engineering division

Full Time Waymo Engineering roles focus on the broader engineering aspects of autonomous vehicle systems, including hardware integration and system testing. In contrast, Full Time Waymo Software Engineers primarily develop and maintain the software components that enable autonomous driving. Both roles require strong technical skills and collaboration within the same industry environment, but they differ in scope and daily responsibilities.

More about Full Time Waymo Engineering jobs
What cities are hiring for Full Time Waymo Engineering jobs? Cities with the most Full Time Waymo Engineering job openings:
What are the most commonly searched types of Waymo Engineering jobs? The most popular types of Waymo Engineering jobs are:
What job categories do people searching Full Time Waymo Engineering jobs look for? The top searched job categories for Full Time Waymo Engineering jobs are:
Infographic showing various Full Time Waymo Engineering job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

Staff Software Engineer - Simulation Realism

Waymo

Mountain View, CA • On-site

$251K - $310K/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.
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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.
A key aspect of our simulation effort is the generation of foundational data that enables realistic simulation and trustworthy evaluations. This involves producing high-fidelity world representations from complex, large-scale multi-modal sensor datasets. We face significant challenges in ensuring the quality and accuracy of these signals, and in engineering robust, scalable systems for handling massive data volumes. This includes designing and implementing effective data lifecycle management strategies to maintain data integrity and accessibility.
In this hybrid role, you will report to a Sr Staff TLM.
You will:
  • Design and develop scalable C++ and Python software systems for our data generation and management platform.
  • Build and optimize data pipelines for processing, labeling, and curating large-scale multi-modal sensor data.
  • Implement robust data lifecycle management, versioning, and storage solutions.
  • Improve the performance, reliability, and scalability of the data platform.
  • Collaborate with engineers and researchers to define and build data APIs and interfaces.
  • Contribute to the long-term architecture of the simulation data ecosystem.

You have:
  • BS or MS in Computer Engineering, Computer Science, or equivalent.
  • 7+ years of experience in software development, focusing on backend or infrastructure.
  • Strong coding and design skills in C++ and/or Python.
  • Experience with large-scale data processing systems (e.g., Flume, Beam, Spark).
  • Experience with databases, data warehousing, and production monitoring.
  • Ability to solve open-ended technical and system design challenges.

We prefer:
  • Experience building data platforms, data lakes, or ML feature stores.
  • Familiarity with data management best practices for ML.
  • Experience with large-scale multi-modal data.
  • Experience developing user-facing APIs and interfaces.

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