Staff Software Engineer, Fleet Optimization
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 39d ago
The date the source published, not the day we noticed it (2026-08-31). Last seen at its source just now.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$251k–310k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 1d ago · last seen just now
The listing
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.
You will:
- Algorithm development, system design, and software implementation to solve multi-disciplinary problems at the intersection of computer science, optimization, and fleet management.
- Instrument systems and analyze complex datasets in order to understand behaviors, troubleshoot problems, identify opportunities, and evaluate hypotheses and counterfactual scenarios.
- Evaluate and reason about optimization and forecasting system performance, including sensitivity to inputs, fidelity of output actuations, and interactions with other automated and human systems.
- Build, evolve, own, and operate mission-critical tools and systems responsible for the continuous optimization of fleet operations.
- Collaborate with Depot Operations, Product, UX, Data Science, and other Engineering teams to develop and improve automated systems, operational processes, and documentation as business needs grow and evolve.
You have:
- 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.
We prefer:
- 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.
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.