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Job Description

  • Design, build, and scale our next-generation diagnostic infrastructure for production and manufacturing environments.
  • Play a critical role in minimizing MTTR and maximizing useful hardware coverage across global fleets.
  • Implement foundational software primitives and API capabilities to model diagnostic capabilities and validate test constraints.
  • Join the Diags Infra team to engineer diagnostic infrastructure, qualification frameworks, and dynamic distribution systems.
  • Focus on building systems to describe, qualify, and distribute diagnostics across both test and production environments. Drive automation by providing coverage-based recommendations to the repair ecosystem, minimizing operational intervention.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience building and developing large-scale infrastructure and distributed systems.
  • 2 years of experience in programming.
  • 2 years of experience testing and launching software products.
  • 1 year of experience with distributed computing and large-scale data processing.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 2 years of experience with data center architecture.
  • 2 years of experience with tools development.
  • 2 years of experience with monitoring systems.
  • 2 years of experience with coding in Python and C++.
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience building and developing large-scale infrastructure and distributed systems.
  • 2 years of experience in programming.
  • 2 years of experience testing and launching software products.
  • 1 year of experience with distributed computing and large-scale data processing.
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Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Software Engineer III, Diags Infrastructure
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

60 more Infrastructure & Platform Engineer roles in Sunnyvale

Job Overview

Approx. salary range

201K – 310K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 98 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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