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Autonomous Vehicle Testing Jobs in Seattle, WA (NOW HIRING)

Overland AI

Forward Deployed Hardware Engineer

Seattle, WA · On-site

$120K - $150K/yr

Deploy and test autonomous vehicles and their payloads in real-world environments. When not traveling, you will be supporting payload integration and vehicle field testing between our Seattle and ...

Overland AI

Forward Deployed Hardware Engineer

Seattle, WA · On-site

$120 - $150/hr

Deploy and test autonomous vehicles and their payloads in real‑world environments. When not traveling, you will be supporting payload integration and vehicle field testing between our Seattle and ...

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All JobsAutonomous Vehicle Testing JobsAutonomous Vehicle Testing Jobs in Seattle, WA

Autonomous Vehicle Testing information

See Seattle, WA salary details

$6

$57

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How much do autonomous vehicle testing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for autonomous vehicle testing in Seattle, WA is $57.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $69.23 per hour, depending on experience, location, and employer.

What is an autonomous vehicle testing job?

An Autonomous Vehicle Testing job involves evaluating self-driving vehicle systems to ensure safety, reliability, and compliance with regulations. Testers conduct real-world and simulated scenarios, collect data, and report performance issues. They work closely with engineers to improve vehicle software, sensors, and AI decision-making. The role may involve manual driving, monitoring automated systems, and troubleshooting failures. Strong technical skills, attention to detail, and adherence to safety protocols are essential.

What are the typical daily responsibilities of someone working in autonomous vehicle testing?

Professionals in Autonomous Vehicle Testing often spend their days designing and executing test plans for self-driving vehicles, monitoring test runs on closed tracks or public roads, and collecting and analyzing vehicle performance data. They collaborate closely with software engineers, safety drivers, and data analysts to refine vehicle algorithms and ensure all systems function safely under varied conditions. Regular responsibilities also include troubleshooting system errors, documenting findings, and providing feedback for ongoing development. This role requires adaptability and vigilance, as testing scenarios may change rapidly based on project needs and technological advancements.

What are the key skills and qualifications needed to thrive in autonomous vehicle testing, and why are they important?

To thrive in Autonomous Vehicle Testing, you need a background in engineering, computer science, or a related field, along with expertise in vehicle systems and safety protocols. Familiarity with testing software, data acquisition tools, driving simulators, and sometimes certifications like ISTQB are highly valuable. Attention to detail, strong problem-solving abilities, and effective teamwork are vital soft skills for this position. These skills ensure accurate data collection, reliable test results, and safe, collaborative testing processes essential to advancing autonomous vehicle technology.

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

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

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

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

Autonomous Vehicle Testing jobs near you
Infographic showing various Autonomous Vehicle Testing job openings in Seattle, WA as of August 2026, with employment types broken down into 66% Full Time, 17% Temporary, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,114 per year, or $57.3 per hour.

Software Engineer - Ride and Fleet Services

Zoox

Seattle, WA

$172K - $230K/yr

Full-time

Re-posted 8 days ago

Job description

Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots!
In this role, you will:
  • Design and build a scalable, efficient, and robust robotaxis dispatch service.
  • Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques.
  • Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems.
  • Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency.
  • Integrate optimization algorithms into the robotaxi platform.
  • Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness.
 
Qualifications
  • Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.
  • Proven experience in algorithm development, with a strong emphasis on operational research methodologies.
  • Proficiency in programming languages Java or Kotlin
  • Solid background in machine learning, AI, operational research, and data analysis.
  • Passion for learning new technologies, domains, and challenging the status quo.
  • Strong mathematics skills.
  • Exceptional problem-solving, analytical, and quantitative skills.
Bonus Qualifications
 
  • Experience with GIS and mapping software.
  • Experience in transportation, logistics, or autonomous vehicles.
  • Experience in building/using fleet simulation tools.
  • Ability to lead through ambiguity and work with diverse stakeholders.
  • Ability to Iterate quickly and efficiently on building end-to-end experiences.
  • Experience handling large data sets and scaling service horizontally to a large number of users.
  • Experience developing cloud services and an understanding of design for scalability, performance and reliability.
  • Knowledge about microservice design patterns and DB access.
  • Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations.
Base Salary Range
 
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.