Staff Software Engineer, Fleet Optimization

Waymo; Mountain View (CA); On-site; USD 251,000 - 310,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive

Company benefits

Job summary

Waymo is seeking an experienced backend engineer in Mountain View, CA to advance the Waymo Driver platform. You will design and optimize large-scale systems, using C++ and Python to deliver reliable autonomous-vehicle software.

You will collaborate with cross-functional teams, tackle complex data workflows, and contribute to mission-critical tools that optimize fleet operations. A BS in CS and 5+ years of coding experience are required, with emphasis on performance and scalability.

Qualifications

• BS in Computer Science or related field
• 5+ years of direct coding experience, backend or infrastructure
• Experience with C++ and Python
• Experience building and analyzing quantitative software systems

Responsibilities

• Develop backend systems for fleet operations
• Instrument and analyze datasets to understand behaviors and troubleshoot problems
• Evaluate and reason about system performance and interactions with other systems
• Collaborate with cross-functional teams to develop and improve automated systems and tools

Skills

C++

Python

Quantitative software systems

Education

BS in Computer Science

Job description

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.

Salary Range

$251,000—$310,000 USD