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Platform Application Engineer, Cloud AI Infrastructure at Google · Austin, TX · Joined
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Platform Application Engineer, Cloud AI Infrastructure

Google · Austin, TX · Just now · 0 applicants
NewOn-siteFull-timeMiddle
Pay
$159k–$230kListed
Workplace
On-site
Job type
Full-time
Level
Middle
Team: Cloud AI Infrastructure · Source: jobright · Posted by joined-scrapper

About the role

Google is seeking a Platform Application Engineer to support customers using Google Cloud AI infrastructure, focusing on diagnosing and resolving complex hardware and software issues, driving root-cause analysis, and collaborating with engineering teams to improve AI/ML infrastructure solutions.

What you’ll do

  • Diagnose and resolve complex hardware, software, and platform issues
  • Drive root-cause analysis
  • Develop diagnostic tools
  • Collaborate with engineering, product, quality, and SRE teams
  • Improve AI/ML infrastructure solutions

What you’ll need

  • Bachelor's degree in Computer Science or related technical field, or equivalent practical experience
  • 4 years of debug or validation experience with CPU, dGPU, or TPU
  • 4 years of experience with technical infrastructure deployment, maintenance, and troubleshooting
  • 3 years of experience with hardware debug
  • Experience debugging technical issues across the stack
  • Experience with Linux/Unix systems and debugging across hardware/software boundary

Original job description

Google is seeking a Platform Application Engineer to support customers using Google Cloud AI infrastructure. The role focuses on diagnosing and resolving complex hardware, software, and platform issues, driving root-cause analysis, developing diagnostic tools, and collaborating with engineering, product, quality, and SRE teams to improve AI/ML…

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