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Senior HPC Storage Engineer - EDA Infrastructure

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Hybrid (Remote / US)$184k - $287.5kFull-timePosted 7mo ago

About the role

Senior HPC Storage Engineer focused on storage infrastructure for EDA and HPC workloads, bridging storage systems with chip design workflows. Responsible for evaluating storage technologies, designing POCs, improving observability, and shaping data placement and storage policies to optimize large-scale EDA/HPC performance at NVIDIA.

Responsibilities

  • Lead storage technology evaluations — design and execute POCs for platforms such as NetApp, VAST, and others, using real EDA workload profiles to benchmark performance, metadata behavior, and compatibility
  • Analyze how storage configurations and architecture choices impact EDA workload runtime in production, and recommend tuning or architectural changes to reduce job execution time
  • Identify gaps in storage telemetry and observability — define what metrics are needed and how to correlate storage behavior with jobs running on the environment
  • Support datacenter lifecycle programs — expansions, technology refreshes, and site exits — by mapping workload placement, identifying required data, and minimizing data replication scope
  • Define storage policies and best practices — data lifecycle, tiering strategies, snapshot/clone workflows (e.g., FlexClone for EDA workspace branching), and capacity planning recommendations
  • Collaborate with IT, EDA tool teams, EDA operations, and networking to translate workload requirements into storage architecture guidance
  • Investigate storage-related issues affecting production workloads — characterize the impact, identify causes, and recommend preventive measures or design changes
  • Contribute to NVIDIA’s storage strategy and roadmap for next-generation compute, AI workloads, and cloud-hybrid infrastructure

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • 8+ years of experience with large-scale NFS and networked storage systems in Linux environments
  • Hands-on experience with at least one enterprise or HPC storage platform (NetApp, VAST, Pure, Lustre, GPFS, Ceph, Weka)
  • Strong Linux systems skills and storage performance analysis — ability to characterize how storage behavior affects workload outcomes
  • Proficient in Python and Bash scripting for automation and tooling
  • Experience with cloud-based storage solutions (GCP Filestore, NetApp Cloud Volumes, AWS FSx, or similar)
  • Experience with observability and metrics collection systems — building or leveraging dashboards, telemetry pipelines, and alerting to monitor storage health and performance (e.g., Prometheus, Grafana, Netdata, or similar)

Skills

Required:NFS and networked storage systemsEnterprise HPC storage platformsLinux system proficiencyPythonBash scriptingCloud-based storage

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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