Waymo
Waymo

60 Waymo Quality Assurance Engineer Jobs Hiring Near You

... premium quality and value * Work with internal Waymo teams to recommend possible future partners ... Engineering teams, and have in-depth knowledge of typical tooling strategies for a range of ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Demonstrated ability as an individual contributor engineer, contributing to scalable, high quality ...

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Develop reusable, high-quality analysis and evaluation tools based on simulation and fleet data.

... and quality. 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 ...

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Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.

What other companies are hiring for Quality Assurance Engineer jobs?

Infographic showing various Quality Assurance Engineer job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 25% Hybrid, and 4% Remote job distribution.

Staff Software Engineer, Data-Driven Behaviors

Waymo

San Diego, CA • Hybrid

Full-time

Re-posted 22 days ago


Job description

The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver's behavior. We are the software engineering team responsible for Waymo's high-level motion planning, encoding Waymo's desired driving behaviors onboard and offboard. Our mission is to build the driving logic needed to deliver a safe, excellent Waymo Driver at scale. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities. 

In this hybrid-based role, you will report to an Engineering Manager.

You will: 

  • Lead and develop the data pipelines that power ML solutions for the Waymo driver's decision making and motion planning: spanning data mining from large datasets, refining labeling policies, and shaping the reward or loss functions for ML models
  • Quickly prototype ideas to improve data pipelines and conduct model finetuning
  • Integrate and deploy ML models on the fleet, conducting end-to-end validation and enabling on-field monitoring
  • Collaborate closely with partner teams such as perception, research, simulation, and evaluation
  • Mentor engineers in leading adoption of data-primary approaches for solving reasoning problems

You have: 

  • Experience in applied machine learning: data shaping, feature engineering, loss/reward shaping, finetuning and model evaluation
  • Eval experience: contributing to scalable eval workflows and building metrics for ML models
  • Proficiency in dealing with large scale models and datasets. High quality API design with an eye towards eval and data-driven techniques.
  • Experience with working and solving design problems that cut across multiple components.
  • PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field.

We prefer: 

  • Experience with Large Language Models (LLM), Vision Language Models (VLM), deep learning or reinforcement learning. 
  • Experience in the autonomous driving domain, including areas like motion planning or perception
  • Proficiency in C++, Python, and SQL