Waymo

Waymo

Posted via Greenhouse

Senior Software Engineer, Fleet Response Infrastructure

Posted Aug 5, 2026

Role at a glance

Salary
$213K – $263K/yr
Location
Mountain View, California, United States San Francisco, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
4+ years of industry experience with web applications (frontend and backend).
Education
Bachelor’s degree in Computer Science or similar technical field of study

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Role Summary

AI-generated

This engineer will develop Fleet Response’s mission-critical full-stack systems that enable real-time collaboration between human Fleet Response Operators and the Waymo Driver. The role supports reliable, globally available, low-latency web applications used for autonomous vehicle operations.

What You'll Do

  • Contribute to the end-to-end reliability and performance of web applications used for real-time autonomous vehicle support.
  • Work on frontend and backend infrastructure, including APIs and integration with upstream and downstream services.
  • Ensure the Fleet Response platform scales to meet reliability, performance, and functionality requirements.
  • Advise and guide cross-functional engineers across Fleet Response and broader Waymo teams on web application systems.
  • Partner with Waymo SRE to drive global scalability and maintain high availability of real-time platforms.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor’s degree in Computer Science or a similar technical field; 4+ years of industry experience with frontend and backend web applications; familiarity with web client architectures including Angular, TypeScript, and RxJS.

Required

  • Bachelor’s degree in Computer Science or similar technical field of study
  • 4+ years of industry experience with web applications (frontend and backend)
  • Familiarity with web client architectures (Angular, TypeScript, RxJS, etc.)

Preferred

  • Experience bringing technical and non-technical groups together
  • Experience with C++
  • Experience building high-reliability distributed systems or RPC services
  • A track record of successful partnerships with SRE

Original job description

Content provided by the employer

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. 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-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Fleet Response team's mission is to accelerate the safe deployment of Waymo's autonomous technology. Fleet Response operates at the cutting edge of our autonomous driving operations. In certain highly ambiguous or complex situations, the Waymo Driver can request the assistance of human Fleet Response Operators (FROs) to provide extra context and information. Those operators use a web application to receive real-time video, audio, and other telemetry from the vehicle and provide guidance back to the Driver.

We are seeking a passionate engineer to develop Fleet Response’s mission-critical full-stack systems that make this real-time collaboration possible. You will work with a team of talented engineers to deliver reliable, globally-available, low-latency visualization and interaction — with a direct impact on Waymo’s autonomous fleet every single day.

You will:

  • Contribute to the end-to-end reliability and performance of mission-critical web applications used for real-time autonomous vehicle support.
  • Work on frontend and backend infrastructure, including robust APIs and seamless integration with upstream and downstream services.
  • Ensure the Fleet Response platform scales effectively to meet Waymo’s reliability, performance, and functionality requirements.
  • Advise and guide cross-functional engineers across Fleet Response and broader Waymo teams to ensure optimal utilization of web application systems
  • Partner closely with Waymo SRE to drive global scalability and maintain the high availability of mission-critical, real-time platforms.

You have:

  • Bachelor’s degree in Computer Science or similar technical field of study
  • 4+ years of industry experience with web applications (frontend and backend).
  • Familiarity with web client architectures (Angular, TypeScript, RxJS, etc).
  • Enjoyment from working closely with your users.
  • A strong intrinsic motivation for reliability.

We prefer:

  • Experience bringing technical and non-technical groups together.
  • Experience with C++.
  • Experience building high-reliability distributed systems or RPC services.
  • An investigative mindset.
  • A track record of successful partnerships with SRE.

 

#LI-Hybrid

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range
$213,000$263,000 USD
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.