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Software Engineer, Fleet Optimization

Waymo

Requirements The ideal candidate is someone who can be self-sufficient and product‑minded BS degree in Computer Science or equivalent practical experience 5+ years of direct coding experience. Backend or infrastructure preferred. Experience with backend coding languages: C++, (secondary Python)

  • Desirable) Experience implementing algorithms for multidimensional systems
  • Desirable) 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
  • Desirable) Passion for working in cross functional environments that include nontechnical stakeholders
  • Desirable) Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform)
  • Desirable) Experience with operations tooling, developer productivity, or developer tools
  • Desirable) Strong bias for action
What the job involves You will be working on cross-cutting problems that will require strong cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure Algorithm design and software implementation to solve multi-disciplinary real world problems at the intersection of computer science, optimization and fleet management Make informed tradeoffs in system design around real world system realities in fleet optimization Instrument systems and analyze data to understand behaviors, troubleshoot, and identify opportunities Build, evolve, own, and operate mission‑critical tools and systems Collaborate with Operators on the ground, Product, UX, data science, and other engineering teams to develop #J-18808-Ljbffr Waymo

Vacancy posted 3 days ago
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