Role at a glance
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- San Francisco, California, United States Mountain View, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- BS degree in Computer Science or related field.
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Role Summary
Develops software systems for fleet optimization, combining algorithm development, system design, and implementation across computer science, optimization, and fleet management. The role also evaluates optimization and forecasting systems and supports the continuous operation of fleet optimization tools.
What You'll Do
- Develop algorithms, design systems, and implement software to solve multidisciplinary problems in computer science, optimization, and...
- Instrument systems and analyze complex datasets to understand behavior, troubleshoot problems, identify opportunities, and evaluate...
- Evaluate optimization and forecasting system performance, including sensitivity to inputs, fidelity of output actuations, and...
- Build, evolve, own, and operate mission-critical tools and systems for continuous optimization of fleet operations.
- Collaborate with Depot Operations, Product, UX, Data Science, and Engineering teams to improve automated systems, operational processes,...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS degree in Computer Science or a related field; 5+ years of direct coding experience; experience with backend coding languages C++ and, secondarily, Python; professional experience building and analyzing quantitative software systems involving algorithmic optimization, machine learning, or large-scale data analytics.
Preferred
- Backend or infrastructure experience.
- Experience implementing algorithms for multidimensional systems informed by practical knowledge in dynamics (system response, mechanics,...
- Passion for working in cross-functional environments that include nontechnical stakeholders.
- Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or equivalent non-Google technologies.
- Experience with operations tooling, developer productivity, or developer tools.
- Strong bias for action.
Original job description
Content provided by the employer
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.
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.
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.