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Lead capacity planning, infrastructure design, and cost optimization for large-scale distributed systems on GCP. Requires eight years of C++ programming experience, seven years building infrastructure or distributed systems, and five years in design, architecture, and product launches. You'll architect fungibility solutions, develop overcommit technologies, and guide organizational capacity decisions across multiple teams and business units.

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Job Description

  • Lead advanced VM shape-based capacity planning and workload prediction to optimize regional and zonal resource distribution. Ensure infrastructure meets GCP customer demands while navigating the heterogeneity of VM products to reduce costs and avoid stock-outs.
  • Architect and implement fungibility solutions and capacity-sharing infrastructure across ACI and Central Fleet. 
  • Drive capacity savings and operational efficiency by creating compute/storage overcommit technologies, minimizing system overheads and maintenance holdbacks, and influencing scheduling improvements to reduce stranded resources.
  • Enable NPIs and AI accelerator initiatives (GPUs/TPUs) through deterministic capacity observability, predictable capacity landing, and the development of Unified Capacity Interfaces between GGF and ACI consumption systems.
  • Guide executive decision-makers on cloud infrastructure investments by partnering closely with GCE, Cloud Capacity Planning, and product engineering. Lead horizontal efforts spanning multiple organizations to ensure rapid, cost-effective capacity scaling and operational delivery.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 5 years of experience with design and architecture; and testing/launching software products.
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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.

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Job Overview

Approx. salary range

188K – 290K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 89 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:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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