Senior HPC Storage Engineer
Nvidia
At a glance
AI generatedAs a Senior HPC Storage Engineer, you will join the GIS Enterprise Storage team to architect and manage high-performance data platforms for on-premises and cloud environments. Your responsibilities include designing large-scale storage architectures using traditional parallel file systems like Lustre or GPFS/Spectrum Scale, as well as modern solutions such as VAST Data or WEKA. You will integrate these systems with NetApp ONTAP to enable hybrid cloud workflows and ensure data mobility through automated replication and tiered storage. Additionally, you will perform rigorous benchmarking to optimize performance and scalability while adhering to strict security guidelines. The role requires expertise in infrastructure automation tools like Ansible and Terraform, as well as a deep understanding of HPC interconnects such as InfiniBand and NVMe-over-Fabrics.
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What you'll do
What we're looking for
Market check
How this pay compares to similar roles
This role pays less than 62% of similar roles. Most pay $151,475–$235,750 — the shaded band above. At the midpoint, this role pays about $184k versus about $194k for comparable roles.
Based on 240 similar postings.
Employer
Lam Research Corporation is a leading American supplier of wafer-fabrication equipment and services to the global semiconductor industry.
Lam Research currently has 238 open roles on FindRole.
Listed pay typically runs $114,000–$231,000 across 116 roles with salary data.
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