Backend Engineer, Mapping Tools & ML-Driven Maps

Waymo LLC

Województwo mazowieckie

On-site

PLN 150,000 - 230,000

Full time

36 hours ago
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Job summary

Waymo LLC in Poland is looking for a software engineer to help build labeling tools and backend systems for mapping and data processing. You will collaborate across Mapping Operations, UX, and engineering to deliver reliable tools and scalable infrastructure.

Requirements include a Bachelor’s degree, 3+ years in tech, strong C++ and large-scale data processing experience, and a passion for quality software engineering. Preference for experience with geographical data.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 3 years of relevant industry experience.
  • Experience with C++ and large-scale data processing.
  • Willingness to own problems end-to-end, from diving into a new and complex domain to working on various parts of the system.
  • A passion for good software engineering.

Responsibilities

  • Help build and evolve mission-critical labeling tools and systems powering mapping at Waymo.
  • Collaborate with Mapping Operations, UX, and other engineering teams to deliver excellent tools for internal use.
  • Work with ML teams to integrate machine learning models into our workflow to drastically improve scalability.
  • Build backend infrastructure for storing and processing many forms of map data
  • Leverage Google's ecosystem to build, deploy, and scale backend services that process vast amounts of mapping data.

Skills

C++
Data processing

Education

Bachelor's degree or equivalent

Job description

Waymo LLC in Poland is looking for a software engineer to help build labeling tools and backend systems for mapping and data processing. You will collaborate across Mapping Operations, UX, and engineering to deliver reliable tools and scalable infrastructure.

Requirements include a Bachelor’s degree, 3+ years in tech, strong C++ and large-scale data processing experience, and a passion for quality software engineering. Preference for experience with geographical data.

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