Ship GenAI features for Google's Maps and Geo products at massive scale

A Software Engineer role on Google's Geo team (Maps, Earth, Street View, Google Maps Platform), focused on implementing GenAI solutions and ML infrastructure work — model deployment, evaluation, optimization, and data processing — for products used by over a billion people monthly. Requires 2 years of software development experience plus 1 year with ML infrastructure and exposure to GenAI techniques like LLMs or multi-modal/vision models.

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Likely format

Standard Google SWE loop: recruiter screen, 1-2 coding phone screens (DS&A), then onsite/virtual onsite with coding, GenAI/ML infra-focused technical rounds, system design, and a Googleyness/leadership behavioral round.

What this interview tests

ML infrastructure: model deployment, evaluation, optimization
GenAI techniques (LLMs, multi-modal, vision models)
Data structures & algorithms fundamentals
Large-scale consumer system design (Maps/Geo context)
Code/design review collaboration practices

Common question themes

Walk through a model you deployed to production and how you evaluated it

How would you apply GenAI/LLM techniques to a Maps or location-based product problem

Coding: data structures and algorithms

Debugging a production issue by tracing impact on service quality

Describe a design or code review that changed your approach

How candidates describe it

Real Software Engineer interview stories — retold from candidates' public write-ups, with sources.

Google · L3 Software EngineerOffer

Google L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round

A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.

Interviewed June 2020 · Bangalore, IN

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Google L4 Software Engineer Interview: Eight Rounds, No Offer

An L4 Software Engineer candidate went through two phone screens, three onsite rounds, a culture conversation, and a team-matching call with a Google hiring manager, then watched the process stall for about a month and a half over a tightened experience requirement before an added extended round ended without an offer.

Interviewed February 2024 · Not specified

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Google L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection

A candidate interviewing for an L5 role went through a phone screening, three onsite coding rounds, a mobile system design round, and a Googleyness and Leadership round. Two of the four technical rounds went poorly by the candidate's own assessment, and after roughly two months of silence the recruiter reported that the role had been closed.

Interviewed January 2023 · Not specified

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