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Temporary Waymo Autonomous Vehicle Jobs in Seattle, WA

Senior Software Engineer, Model Lifecycle

Kirkland, WA · Hybrid

$139K - $183K/yr

... Waymo's ML development cycle. As we scale to new cities and vehicle platforms, our data volume is ... Passionate about data-centric AI and autonomous driving applications We prefer: * Experience in ...

Experience in robotics, aerospace, autonomous vehicles, unmanned systems, or drone technology ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Be Seen First

... complete P&L autonomy. What You'll Do * Total Operational & P&L Leadership: Drive safety ... temporary housing assistance * Transportation & Tools: Company vehicle, company credit card, laptop ...

This role combines temporary assignments with a flexible schedule for individuals that are ... Are you interested in a professional opportunity that allows you flexibility and autonomy? If you ...

This role combines temporary assignments with a flexible schedule for individuals that are ... Are you interested in a professional opportunity that allows you flexibility and autonomy? If you ...

This opportunity offers strong earning potential, uncapped commission, and the autonomy to manage ... Monthly vehicle allowance plus mileage reimbursement. - Medical, dental, and vision benefits ...

Temporary Waymo Autonomous Vehicle information

See Seattle, WA salary details

$15

$27

$35

How much do temporary waymo autonomous vehicle jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for temporary waymo autonomous vehicle in Seattle, WA is $27.21, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $29.81 per hour, depending on experience, location, and employer.

What is a temporary Waymo Autonomous Vehicle?

A Temporary Waymo Autonomous Vehicle position typically refers to a short-term role working with Waymo's self-driving car technology. Employees in these positions may be responsible for tasks such as monitoring autonomous vehicles, collecting data, or supporting vehicle operations during tests. These roles are often contract-based and can involve working directly with the vehicles on public roads or in test environments. They provide valuable experience in the autonomous vehicle industry and may include opportunities for training and collaboration with engineers and safety specialists.

What are the key skills and qualifications needed to thrive as a Waymo Autonomous Vehicle operator?

To thrive as a Waymo Autonomous Vehicle Operator, you need a valid driver's license, a clean driving record, strong attention to detail, and experience with safe vehicle operation. Familiarity with onboard diagnostic systems, computer tablets, and proprietary Waymo software is typically required. Reliability, clear communication, and the ability to follow detailed protocols are crucial soft skills for this role. These skills and qualities are vital to ensure the safe testing and operation of autonomous vehicles and accurate reporting of any issues encountered.

What are some common challenges faced by temporary Waymo Autonomous Vehicle operators, and how can they be addressed?

Temporary Waymo Autonomous Vehicle Operators often face challenges such as adapting to rapidly evolving technology, maintaining high attention to detail during long monitoring shifts, and effectively documenting rare events or system anomalies. To address these challenges, operators are encouraged to stay updated on the latest procedural changes, take regular breaks to reduce fatigue, and use detailed reporting tools provided by Waymo. Collaboration with technical support teams and participation in ongoing training sessions also help operators stay prepared and confident in their role.

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

AspectTemporary Waymo Autonomous VehicleTemporary Autonomous Vehicle Technician
CredentialsDriver's license, knowledge of autonomous systemsTechnical certifications, vehicle maintenance skills
Work EnvironmentOn-road testing, vehicle monitoringGarage, testing facilities, on-site repairs
Industry UsageAutonomous vehicle testing and developmentVehicle maintenance and troubleshooting in autonomous fleet

Temporary Waymo Autonomous Vehicles are primarily involved in testing and operating autonomous driving systems on public roads, requiring knowledge of vehicle operation and safety protocols. In contrast, Temporary Autonomous Vehicle Technicians focus on maintaining, repairing, and troubleshooting autonomous vehicles in a controlled environment. Both roles are essential in the autonomous vehicle industry but differ in responsibilities, skills, and work settings.

What are the most commonly searched types of Waymo Autonomous Vehicle jobs in Seattle, WA?

The most popular types of Waymo Autonomous Vehicle jobs in Seattle, WA are:

What are popular job titles related to Temporary Waymo Autonomous Vehicle jobs in Seattle, WA?

For Temporary Waymo Autonomous Vehicle jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Temporary Waymo Autonomous Vehicle jobs in Seattle, WA look for?

The top searched job categories for Temporary Waymo Autonomous Vehicle jobs in Seattle, WA are:

Infographic showing various Temporary Waymo Autonomous Vehicle job openings in Seattle, WA as of August 2026, with employment types broken down into 58% Full Time, 14% Part Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $56,588 per year, or $27.2 per hour.

Sr. Staff Software Engineer, DUE Experience

Waymo

Seattle, WA • On-site

Full-time

Re-posted 9 days ago


Job description

The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as  context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. 

In this hybrid role, you will report to the Engineering Manager.

You will:

  • Define and drive the technical vision and architectural strategy for autonomous, multi-agent systems within the DUE Experience team, focusing on transformative improvements in event triage.
  • Lead the exploration and application of state-of-the-art agentic technologies to automate complex triage workflows, shifting paradigms from static LLM generation to dynamic reasoning, planning, and execution.
  • Architect, design, and guide the implementation of scalable, robust agentic frameworks capable of dynamic tool use, self-reflection, and multi-step orchestration.
  • Collaborate across teams to identify opportunities where agentic workflows and specialized AI agents can autonomously navigate and impact the broader Waymo Driver evaluation lifecycle.
  • Mentor and provide technical guidance to engineers within DUE Experience and partner teams, fostering innovation and engineering excellence in agentic design patterns.
  • Identify and advocate for the broad problem(s) worth solving, turning big-picture concepts into actionable projects and roadmaps for human-on-the-loop autonomous systems.

 

You have:

  • Extensive experience (typically 10+ years) in software engineering, with a significant focus on architecting and building large-scale, complex systems.
  • Deep expertise in Artificial Intelligence and Machine Learning, with heavy, hands-on experience building autonomous agents, multi-agent orchestration systems, and integrating LLMs with external tools/APIs.
  • Proven ability to define technical strategy, influence senior leadership, and drive execution across multiple teams in ambiguous and rapidly evolving domains.
  • A strong track record of technical leadership, including designing and implementing novel agent-based solutions.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

 

We prefer:

  • PhD in Computer Science or a related field, with a specialization in AI/ML or a related area.
  • Experience with agentic frameworks, knowledge graphs, and reasoning engines.
  • Familiarity with autonomous vehicle simulation, testing, or evaluation domains.
  • Proficiency in C++ and experience with building production-grade services.
  • Experience working with large-scale data processing and distributed systems.
  • Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure.