Startups · AI

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

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.

What they're looking for

  • Bachelor's degree or equivalent practical experience
  • 5 years of experience testing, and launching software products
  • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture
  • 3 years of experience with software design and architecture
More about this role
  • Work with customers on their Lustre deployment to diagnose problems and optimize performance. Help customers profile their workload, and tune it for Google Cloud Platform (GCP).
  • Add features to Lustre that integrate with GCP technologies, enabling customers to bring their AI/ML workloads to GCP. Work with partner teams like GKE, GCS, Vertex AI, GCE, etc. to optimize the GCP stack end-to-end.
  • Lustre performance measurements, investigating bottlenecks, and perf improvements. Work with teams across GCP to unlock all of Lustre's potential.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • 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 and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
  • 3 years of experience with software design and architecture.
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8...

Read the full posting on Google's site ↗

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