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Waymo Engineering Jobs (NOW HIRING)

Waymo

Engineering Manager, Rider Growth

Mountain View, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... As the Engineering Manager for Rider Growth, you will build, lead, and inspire a high-performing ...

Waymo

Senior Software Engineer, Planner

Mountain View, CA · On-site

$213K - $263K/yr

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every ...

Waymo

Software Engineer, Multiverse

San Francisco, CA · On-site

$170K - $216K/yr

Partner with cross-functional teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals. You have: * 3+ years of ...

Waymo

Staff Software Engineer, Multiverse

San Francisco, CA · On-site

$238K - $302K/yr

Work with partner engineering and data science teams to answer whether the results of the "virtual driver's test" are predictive of the Waymo Driver's real-world driving behavior. * Align the overall ...

Waymo

Software Engineer, Pin Infra

Mountain View, CA · On-site

$175K - $215K/yr

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every ...

Waymo

Senior Software Engineer, DevAI

San Francisco, CA · On-site +1

$213K - $263K/yr

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI. You will: * Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable ...

Waymo

Staff Software Engineer, Webviz

Mountain View, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... let engineers and automated evaluation pipelines analyze driving data. You will: • Build and ...

Waymo

Software Engineer, Multiverse

Mountain View, CA

$170K - $216K/yr

Partner with cross-functional teams including Data Science and Systems Engineering who will help with number crunching and expert understanding of the Waymo Driver internals. You have: * 3+ years of ...

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Waymo Engineering information

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How much do waymo engineering jobs pay per year?

As of Jun 14, 2026, the average yearly pay for 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.

How much do Waymo engineers make?

Waymo engineers typically earn between $100,000 and $160,000 annually, depending on experience, role, and location. Salaries for software and autonomous vehicle engineers often include additional benefits such as stock options and bonuses, and require skills in programming, robotics, or machine learning.

What are some common challenges faced by engineers working at Waymo, and how are they addressed within the team?

Engineers at Waymo often encounter complex technical challenges related to developing and refining autonomous vehicle systems, such as ensuring safety, reliability, and scalability of self-driving technology. These challenges are addressed through a collaborative, cross-functional team environment where engineers work closely with specialists in hardware, software, machine learning, and testing. Regular code reviews, simulation testing, and open communication help identify and solve issues efficiently. Additionally, Waymo encourages ongoing learning and knowledge sharing to stay at the forefront of innovation in autonomous driving.

What is the difference between Waymo Engineering vs Waymo Software Developer?

AspectWaymo EngineeringWaymo Software Developer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience in autonomous vehicle systemsBachelor's or higher in Computer Science or related field; programming skills in C++, Python
Work EnvironmentResearch and development, testing autonomous vehicle hardware and systemsSoftware development, coding, debugging, and deployment of autonomous vehicle software
Employer & Industry UsageUsed within Waymo's autonomous vehicle projects, often in cross-disciplinary teamsPrimarily within Waymo's software teams, focusing on application and system development

Waymo Engineering roles focus on hardware integration, system testing, and research in autonomous vehicle technology, while Waymo Software Developers concentrate on coding, software design, and implementation of autonomous driving systems. Both roles require technical expertise but differ in their focus areas within the autonomous vehicle industry.

What is Waymo Engineering?

Waymo Engineering refers to the team and roles involved in designing, developing, and maintaining the technology behind Waymo's self-driving vehicles. Engineers at Waymo work on areas such as software development, artificial intelligence, robotics, sensor integration, and vehicle systems. Their primary goal is to create safe, reliable, and efficient autonomous driving technology by solving complex technical challenges. The engineering team collaborates across disciplines to ensure the vehicles can understand and navigate the world safely.

Is it hard to get a job at Waymo?

Getting a job at Waymo as an engineer can be competitive, often requiring a strong background in software development, robotics, or related fields, along with relevant experience and skills in autonomous vehicle technology. Candidates typically go through multiple interview rounds assessing technical expertise, problem-solving ability, and cultural fit.

What engineer works on the Waymo cars?

Engineers working on Waymo cars include software engineers, hardware engineers, and robotics engineers who develop autonomous driving systems, sensors, and algorithms. These roles often require expertise in areas such as machine learning, computer vision, and embedded systems, and involve collaboration across multidisciplinary teams to ensure safety and reliability.

What engineer makes $500,000 a year?

Senior engineers at leading technology companies, including those working on autonomous vehicle systems like Waymo, can earn $500,000 or more annually through base salary, bonuses, and stock options. Such compensation typically requires extensive experience, advanced skills in software development, and contributions to high-impact projects in the field of autonomous driving or AI engineering.

What are the key skills and qualifications needed to thrive as a Waymo Engineer, and why are they important?

To thrive as a Waymo Engineer, you need expertise in computer science, robotics, or a related engineering field, with strong proficiency in programming languages such as C++ or Python. Familiarity with autonomous vehicle systems, machine learning frameworks, and tools like ROS or TensorFlow is typically required, along with relevant certifications or advanced degrees. Excellent problem-solving, teamwork, and communication skills help engineers innovate and collaborate effectively in multidisciplinary teams. These skills are crucial for developing safe, reliable autonomous driving technology that meets rigorous industry standards.
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Waymo Engineering jobs near you
Infographic showing various Waymo Engineering job openings in the United States as of June 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Principal Software Engineer - Waymo Driver Post Training

Principal Software Engineer - Waymo Driver Post Training

Waymo

Mountain View, CA

$159K - $213K/yr

Other

Posted 21 days ago

Job description

The Perception team at Waymo builds technology that powers the Waymo Driver. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, allowing ML practitioners like you to develop multi-modal models and techniques at scale.

In this hybrid role, you will report to our Senior Director of Engineering, Perception.


You will:

  • Work closely with Onboard model engineers on rapid prototyping and experiments, to verify model design and training recipes, before decision to productionize

  • Whenever needed, prototype the necessary infrastructure (data, eval) to enable model experimentation

  • Drive post-training technology roadmap (e.g., RL techniques) and training recipe roadmap

  • Drive and contribute to the production rollout of major model architecture and recipe evolutions, to solve a variety of behavior contexts

  • Build and facilitate strong collaborations between Onboard and research teams across Waymo and Alphabet

  • Work closely with Onboard and collaborators to build and continuously evolve the post-training recipe roadmap, with milestones towards strong capability goals and continuous production impact

You have:

  • Remaining technical and hands-on, either currently as an individual contributor, or leading a small team

  • Actively writes code, reviews code, and runs experiments

  • Hands-on experience in post-training techniques, e.g., RL and SFT

  • Experience in at least one of Robotics, VLA, VLM. Strong in both theoretical and practical understanding in model architectures and training techniques; built SOTA models; built / extremely familiar with the entire model development process

  • Production driven experience and mindset - problem driven, strong ownership on quality and timely delivery, rigor in evaluation

  • Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team


We prefer:

  • Experienced at model optimization, model-compute codesign

  • Experienced at driving cross-org efforts in transitioning large systems through major evolutions

  • Experienced at modern ML data, training, and inference systems for large models

  • Strong track record coaching and growing engineers and leaders

  • Domain experience in either robotics or AV

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