The opportunity
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…
What you'll do
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.
BS degree in Computer Science or related field.
What they're looking for
- + 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.
