Jobs · Information Technology · California

Senior Backend Engineer, Fleet Infrastructure

Waymo · Mountain View, CA · 1 mo ago
HybridInformation Technology$213k–$263k/yrFull-time

About the role

The Waymo Fleet Infrastructure team is seeking passionate engineers to build and evolve mission-critical commercialization tools and systems. You will collaborate with Product and other engineering teams to develop systems and processes as business needs grow and evolve. You will solve hard, real-world problems such as vehicle profile, secure parts transactions, vehicle configuration, and build key infrastructure.

Responsibilities

  • Build and evolve mission-critical commercialization tools and systems
  • Collaborate with Product and other engineering teams to develop systems and processes
  • Solve hard, real-world problems such as vehicle profile, secure parts transactions, vehicle configuration
  • Build key infrastructure

Requirements

  • BS degree in Computer Science or equivalent practical experience
  • 7+ years of backend/infra experience
  • Strong knowledge in building software applications at scale
  • TL or technical leadership skills
  • Ability to thrive in ambiguity, solving large, open-ended problems
  • Ability to think strategically and architecturally, while balancing short- and long-term needs

Qualifications

  • Excellent communication skills - both technically with other engineers and with non-technical stakeholders
  • Experience or interest in a cross-functional environment - we work with many different roles to build solutions for Waymo, our problem spaces typically require more than just software.

Skills

  • MS in Computer Science, or equivalent practical experience
  • 5+ years of experience in data structures and algorithms
  • 5+ years of experience programming in C++ and/or with writing robust, efficient code

Pay

The expected base salary range for this full-time position across US locations is $213,000—$263,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

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