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Waymo Engineering Jobs (NOW HIRING)

Neura Market

Component Engineer

Mountain View, CA · On-site

$200 - $247/hr

We collaborate actively with Waymo engineering teams as well as external suppliers and partners to make sure everything is built to spec and delivered on time to meet the rising demands of our ...

Waymo

Staff iOS Engineer, Growth

San Francisco, 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

$60/hr

S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run ...

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Waymo Engineering information

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How much do waymo engineering jobs pay per year?

As of Sep 6, 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.

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.

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 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.

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 does Waymo engineering do?

Waymo engineering involves developing autonomous vehicle technology, including software, sensors, and algorithms that enable self-driving cars to navigate safely. Engineers in this field work on areas such as perception, mapping, control systems, and machine learning, often using tools like ROS and programming languages like C++ and Python. Their work supports the creation and deployment of autonomous driving solutions in real-world environments.
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Waymo Engineering jobs near you
Infographic showing various Waymo Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% 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.

Group Product Manager, DevAI & Agentic Workflows

Waymo

San Diego, CA • On-site

Full-time

Re-posted 9 days ago

Job description

Waymo's Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo's technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future.

This role follows a hybrid work schedule and reports to the Director of Product Management.

You will:

  • Define a compelling vision for Waymo's DevAI platform, shaping how autonomous driving software is built by completely transforming internal workflows into AI-first paradigms.
  • Exercise a highly focused and disciplined mindset to ruthlessly prioritize investments. You will guide a high-impact core team in a rapidly changing technological landscape.
  • Act as the primary thought leader and educator on AI-Powered Devtools for all of Waymo's engineers-cutting through the hype, organizing fragmented information (newsletters, new tools), and keeping teams focused on actionable insights.
  • Own the developer productivity survey and engineering education programs, ensuring they are tightly aligned with and accelerating our DevAI strategy.
  • Resolve technical and strategic ambiguities, making highly complex product decisions that carry long-term strategic impact for all Waymo engineers.
  • Set up the organization to grow by simplifying interfaces and processes for AI-Powered Devtools adoption from inception to deployment.
  • Establish robust, data-driven frameworks (e.g., DX Framework, SPACE metrics) to measure the true ROI of DevAI integration.
  • Partner with engineering and security teams to design and implement secure integration layers, ensuring AI tools safely access proprietary data without exposing core assets.

You have:

  • Deep engineering experience coupled with hands-on, practitioner-level expertise using modern coding agents and agentic development framework.
  • Extensive experience as a Product Manager, with a track record of building and launching complex developer tools, platforms, or AI-integrated products.
  • Demonstrated AI fluency (Generative AI, LLMs) and a deep understanding of how they map to and transform real-world developer workflows.
  • An entrepreneurial mindset with the ability to navigate high ambiguity and pioneer new paradigms.
  • Strong cross-org leadership skills, uniquely capable of identifying collisions, mediating solutions, and inspiring both engineering and research teams.

We prefer:

  • Experience driving organizational mindset shifts and large-scale, high-visibility technical initiatives that impact entire engineering organizations.
  • Prior hands-on experience building, implementing, or managing tools utilizing the Model Context Protocol (MCP) or similar agent-to-application integration frameworks.

Apply