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Salary
$251k – $310k per year
Location
In office (Mountain View, San Francisco)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 331 · for this role: 234 · green card filings: 28
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Sep 11, 2026. Waymo scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Waymo is an American autonomous driving company that began as the Google self-driving car project in 2009 and became a standalone Alphabet subsidiary in 2016. It operates the largest fully driverless commercial ride-hailing service in the world through the Waymo One app, carrying paying passengers with no human in the vehicle across Phoenix, San Francisco, Los Angeles, Austin and an expanding list of cities. Headquartered in Mountain View, California, the company builds its own sensor suite and the Waymo Driver software stack, integrates them into vehicles from partners such as Jaguar, Zeekr and Hyundai, and also develops autonomous trucking technology.

Join our team as a Staff Software Engineer specializing in Fleet Optimization. In this role, you will be responsible for algorithm development, system design, and software implementation to solve complex problems at the intersection of computer science, optimization, and fleet management. You will analyze complex datasets, evaluate system performance, and build and operate mission-critical tools for continuous fleet optimization. Collaboration with various teams will be essential as you develop and improve automated systems and operational processes.

Missions

  • Algorithm development, system design, and software implementation to solve multi-disciplinary problems at the intersection of computer science, optimization, and fleet management.
  • Instrumenting systems and analyzing complex datasets to understand behaviors, troubleshoot problems, identify opportunities, and evaluate hypotheses.
  • Building, evolving, owning, and operating mission-critical tools and systems responsible for the continuous optimization of fleet operations.

Profil recherché

- BS degree in Computer Science or related field

- 5+ years of direct coding experience. Backend or infrastructure preferred

- Experience with backend coding languages: C++, (secondary Python)

- Professional experience building and analyzing quantitative software systems such as those involving algorithmic optimization, machine learning, or large-scale data analytics

- Experience implementing algorithms for multidimensional systems informed by practical knowledge in any of the fields of dynamics (system response, mechanics, system modelling) , optimization (gradient descent, linear algebra, filtering), control (linear, state space, stochastic, feedback control), operations research (constraint optimization, Linear programming) and/or implementing design patterns

- Passion for working in cross functional environments that include nontechnical stakeholders

- Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or the equivalent non-Google technologies

- Experience with operations tooling, developer productivity, or developer tools

- Strong bias for action

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