Drimva

Google

Staff Software Engineer, Lustre AI/ML, Google Cloud Storage

Sunnyvale, CA, USA · Staff · Full-time · Posted Sep 30, 2026

Experience
8 years programming in C++; 5 years testing and launching software products; 5 years in large-scale infrastructure, distributed systems or networks, or compute technologies, storage, or hardware architecture; 3 years in software design and architecture. Preferred: 8 years with data structures and algorithms; 3 years in technical leadership; 3 years in a complex, matrixed organization.
Education
Bachelor's degree or equivalent practical experience.

About the job

Develop and optimize Lustre features and performance for Google Cloud, helping customers run AI/ML workloads and coordinating improvements across GCP services.

What you'll do

  • Diagnose and optimize customers’ Lustre deployments, including profiling and tuning workloads for GCP.
  • Build Lustre features that integrate with GCP technologies and collaborate with partner teams to optimize the stack.
  • Measure Lustre performance, investigate bottlenecks, improve performance, and manage project priorities and deliverables.

What they ask for

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience testing and launching software products.
  • 5 years of experience building large-scale infrastructure, distributed systems, or networks, or working with compute technologies, storage, or hardware architecture; and 3 years of experience with software design and architecture.

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field; 8 years of experience with data structures and algorithms.
  • Technical leadership, cross-functional project experience, or experience with parallel file systems.

Pay

$207000 - $300000 (USD) (base salary)

Tools

C++, Lustre, Google Cloud Platform (GCP), GKE, GCS, Vertex AI, GCE

AI focus

Add Lustre features and optimize the GCP stack to support customers’ AI/ML workloads.

Model-written summary · the original posting is authoritative

First seen Oct 8, 2026 · Last verified Nov 5, 2026 (UTC)