Principal Engineer, Cloud Compute for AI/ML Scale

Google

Seattle (WA)

Hybrid

USD 307,000 - 427,000

Full time

2 days ago
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Benefits offered by this job

Health insurance with dental/vision
401(k) with company match
Paid time off
Sick time
Holidays

Job summary

Google is seeking a Principal Engineer for Specialized Instances to define workload-optimized GCE portfolios for AI/ML clusters and mission-critical apps. You will collaborate across Engineering, Product Management, Finance, Account Management, Operations, Product Marketing, UX, and UI to broker trade-offs and drive adoption.

You will shape the workload-optimized portfolio, mentor tech leads, and push innovation across storage, memory, and compute to deliver scalable cloud infrastructure.

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
  • 15 years of software development experience with customer-facing products.
  • 10 years of cloud compute infrastructure and storage or networking experience.

Responsibilities

  • Establish workload-optimized portfolio roadmap for GCE instances.
  • Lead design, development and optimization of GCE instances for AI/ML workloads.
  • Build SME understanding of enterprise and AI/ML segments for requirements.
  • Provide technical guidance and mentorship to tech leads on portfolio.

Skills

Cross-functional collaboration
Communication skills
Organization & prioritization
Storytelling & narrative

Education

Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience

Job description

Google is seeking a Principal Engineer for Specialized Instances to define workload-optimized GCE portfolios for AI/ML clusters and mission-critical apps. You will collaborate across Engineering, Product Management, Finance, Account Management, Operations, Product Marketing, UX, and UI to broker trade-offs and drive adoption.

You will shape the workload-optimized portfolio, mentor tech leads, and push innovation across storage, memory, and compute to deliver scalable cloud infrastructure.

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