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Platform Application Engineer, Cloud AI Infrastructure

Google
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Hybrid (Austin, TX; Kirkland, WA)$159k - $230kFull-timePosted 4w ago

About the role

Platform Application Engineer focused on hardware engineering support for Google Cloud AI infrastructure, solving customer observations through deep hardware analysis, debugging, and root-cause resolution, with collaboration across engineering and product teams to drive platform improvements.

Responsibilities

  • Manage customer’s problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure.
  • Work closely with multiple Product, Quality, and Engineering teams to improve the product, and interact with Site Reliability Engineering (SRE) teams to understand behaviours.
  • Debug platform hardware and silicon-related issues to drive root-cause resolution and develop permanent improvements.
  • Drive understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the cause for customer reported issues, and building tools for faster diagnosis.
  • Act as a consultant and subject matter expert for internal stakeholders in Engineering and Quality organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.

Qualifications

  • Bachelor's degree in Computer Science, MIS, or other 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), and quality and reliability of technical infrastructure.
  • 3 years of experience with hardware debug (silicon debug, platform debug, IO interface, or memory analysis).
  • Experience debugging technical issues across the stack (hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance).
  • Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.

Skills

Required:Debugging across hardware/software stackLinux/UnixHardware debug (silicon/platform IO/memory)

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days/year
  • Sick Time: 40 hours/year (69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days/year
Last updated Oct 23, 2026. Interested? Apply on the company site.

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