Senior HPC Storage SRE - On-Prem + Cloud

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 168,000 - 334,000

Full time

14 days+

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Job summary

NVIDIA Corporation is seeking a Senior Site Reliability Engineer focusing on HPC storage to design, implement, and optimize on-prem storage solutions while leveraging cloud capabilities. You will build automation, document best practices, and collaborate with engineering to meet evolving infrastructure needs.

You will work on distributed file systems, NAS solutions, and cloud-based storage, ensuring performance, scalability, and cost-efficiency for data-intensive workloads.

Qualifications

  • BS in Computer Science or equivalent experience; 8+ years in HPC storage and performance tuning.
  • 8+ years crafting technology solutions and resolving performance bottlenecks for HPC apps.
  • Experience with enterprise NAS like NetApp, Pure Storage; S3-based storage like Cloudian MinIO.

Responsibilities

  • Design and implement on-prem HPC infrastructure with cloud integration.
  • Design and implement scalable storage solutions for data-intensive apps.
  • Develop tooling to automate deployment and management of large-scale infra.
  • Document procedures, evaluate technologies, and align with developer workflows.
  • Guide design/testing/deploying approaches for performance and resource usage.

Skills

HPC storage
Distributed systems
Python
Bash/Shell
Go (Golang)
Cloud environments

Education

BS in Computer Science
MS in Computer Science
PhD in Computer Science (optional)

Tools

NetApp
Pure Storage
S3/MinIO
Prometheus
Grafana
Elasticsearch
Kibana
Splunk
Zabbix
Docker
Kubernetes

Job description

NVIDIA Corporation is seeking a Senior Site Reliability Engineer focusing on HPC storage to design, implement, and optimize on-prem storage solutions while leveraging cloud capabilities. You will build automation, document best practices, and collaborate with engineering to meet evolving infrastructure needs.

You will work on distributed file systems, NAS solutions, and cloud-based storage, ensuring performance, scalability, and cost-efficiency for data-intensive workloads.

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