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Waymo Autonomous Vehicle Jobs (NOW HIRING)

Waymo

Global Process Manager, Waymo Support

Los Angeles, CA · On-site

$159K - $202K/yr

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 ...

Waymo

Software Quality Operations Specialist

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 ...

Waymo

OEM Platform Integration Engineer

Mountain View, CA · On-site

$158K - $200K/yr

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 ...

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How much do waymo autonomous vehicle jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for waymo autonomous vehicle in the United States is $23.91, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $26.20 per hour, depending on experience, location, and employer.

Is it hard to get a job at Waymo?

Getting a job as a Waymo autonomous vehicle engineer or technician can be competitive, often requiring relevant experience in robotics, software development, or automotive systems. Candidates typically need strong technical skills, relevant certifications, and a background in autonomous vehicle technology or related fields. The hiring process may include technical interviews and assessments to evaluate problem-solving abilities and technical knowledge.

How much do Waymo workers make?

Waymo autonomous vehicle operators and engineers typically earn between $70,000 and $150,000 annually, depending on experience, role, and location. Compensation may include benefits such as health insurance, stock options, and flexible schedules, with roles requiring technical skills and safety training.

What are Waymo autonomous vehicles?

Waymo autonomous vehicles are self-driving cars developed by Waymo, a subsidiary of Alphabet Inc. These vehicles use a combination of sensors, software, and artificial intelligence to navigate roads and transport passengers without a human driver. Waymo's technology includes lidar, radar, cameras, and machine learning algorithms to interpret and respond to their environment. The goal is to provide safe, efficient, and accessible transportation services, currently being tested and deployed in select cities. Passengers can use the Waymo One app to hail rides in these autonomous vehicles.

Does Waymo do remote jobs?

Waymo offers some remote job opportunities, particularly in roles related to software engineering, data analysis, and remote support. However, many positions, especially those involving vehicle testing and operational tasks, require on-site presence at their facilities or testing sites. Candidates should review specific job listings for location requirements and remote work options.

How to get hired by Waymo?

To get hired as a Waymo autonomous vehicle engineer or technician, candidates should have relevant technical skills such as software development, robotics, or automotive engineering, along with experience in autonomous systems or machine learning. Applying through the company's careers page and demonstrating proficiency with tools like lidar, radar, and simulation software can improve chances. A strong educational background in engineering or computer science is also beneficial.

What is the difference between Waymo Autonomous Vehicle vs Autonomous Vehicle Technician?

AspectWaymo Autonomous VehicleAutonomous Vehicle Technician
CredentialsEngineering degrees, specialized training in autonomous systemsTechnical certifications, vehicle repair and maintenance training
Work EnvironmentResearch labs, testing sites, on-road testingVehicle service centers, repair shops, testing facilities
Industry UsageDeveloping and deploying autonomous driving technologyMaintaining and repairing autonomous vehicle hardware and software

Waymo Autonomous Vehicles focus on developing and deploying self-driving technology, requiring advanced engineering skills. Autonomous Vehicle Technicians support these vehicles through maintenance and repairs, with a focus on hardware and software troubleshooting. Both roles are essential in the autonomous vehicle industry but differ in their responsibilities and required expertise.

What are the key skills and qualifications needed to thrive as an Autonomous Vehicle Engineer at Waymo, and why are they important?

To thrive as an Autonomous Vehicle Engineer at Waymo, you need a strong background in computer science, robotics, or electrical engineering, often with advanced degrees and expertise in machine learning or sensor fusion. Proficiency with programming languages like C++ and Python, experience using simulation tools, and familiarity with ROS (Robot Operating System) are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in cross-functional teams and dynamic development environments. These skills are crucial for developing safe, reliable, and innovative autonomous driving technologies.
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Waymo Autonomous Vehicle jobs near you
Software Quality Ops Scenarios Specialist (RelSim)

Software Quality Ops Scenarios Specialist (RelSim)

Waymo

Mountain View, CA

Other

Posted 16 days ago

Key responsibilities

  • Partner with Product and Engineering teams on the design, test, and deployment of simulation tools to create scalable test coverage.

  • Drive technical processes for rapid-response simulation-based scenario testing to support root-cause evaluation and fix validation of emergent issues.

  • Define and document new policies, guidelines, and Standard Operating Procedures that integrate advanced tools and insights into daily vendor workflows.

Job description

The Software Quality Operations (SWQOps) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.

 

Why This Team is Essential to Waymo's Success: 

 

Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. SWQ Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The Scenario Operations team within SWQ Ops owns the scaled delivery and maintenance of simulation-based directed testing coverage used to evaluate the Safety and performance of the driver as Waymo continues to scale. As a Technical Specialist in Scenario Operations, you are the Subject Matter Expert who bridges the gap between our simulation software capabilities and real-world operational execution.

In this role you support:

  • Tooling Development & Optimization: Partner with Product and Engineering teams on design, test, and deployment of cutting-edge simulation tools. You will ensure these tools effectively combine human-in-the-loop (HITL) precision with AI-driven automation to create scalable test coverage.
  • Rapid Issue Response: Drive the technical processes for "rapid-response" simulation-based scenario testing. When emergent issues are found in the field, you will apply your deep understanding of the A/V software stack and our tooling to support root-cause evaluation and fix validation.
  • Policy Development: Serve as the key link between AI/ML development and operational execution. Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate advanced tools and insights into daily vendor workflows.
  • Quality Assurance: Design and implement robust quality control processes for both human and AI-generated outputs. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance.
  • Technical Consultation: Act as the Subject Matter Expert (SME) for your specific domain. You will provide technical leadership to cross-functional stakeholders, advising on the feasibility of new testing coverage and driving tool improvements to achieve desired outcomes.

 

You have:

 

  • BS/BA degree or 4 years of relevant work experience in AV Software Quality, Simulation or Technical Operations
  • Experience with ML testing and validation methods, including dataset quality assurance, bias detection, edge-case scenario testing, and / or performance evaluation using statistical metrics.
  • Ability to quickly master proprietary software tools and a proven track record of root-causing high complexity, technical issues
  • A strong understanding of driving rules, behavioral safety, and the nuances of complex traffic environments

 

We prefer:

  • Hands-on experience with advanced AV simulation test environments 
  • Basic experience with SQL for data extraction and basic results analysis
  • Experience working with offshore teams / multiple local operations hubs
  • Track record of using technical expertise to influence product roadmaps or improve internal customer satisfaction.

Apply