Senior Site Reliability Engineer, Storage

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $168,000–$270,250 / yr
Posted: 10 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k

This role $219k

$136k most similar roles pay here $285k

This role pays more than 76% of similar roles. Most pay $162,873–$217,725 — the shaded band above. At the midpoint, this role pays about $219k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Senior Site Reliability Engineer, Storage

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As a Senior Site Reliability Engineer - Storage, you will join the team focused on HPC storage to design, implement, and optimize on-prem High-Performance Computing infrastructure integrated with cloud computing. You will be responsible for crafting distributed storage solutions, building automation tools for deployment and monitoring, and ensuring efficient operations of the growing IT ecosystem. Your daily work involves developing tooling for self-service resource consumption, performing technology evaluations for distributed file systems, and collaborating with engineering teams to align infrastructure with developer workflows. The role requires expertise in Enterprise NAS solutions like NetApp and Pure Storage, S3-based storage such as Cloudian MinIO, and parallel filesystems including Lustre or GPFS. You will utilize Python, Bash, and Golang while managing environments across AWS, Azure, or GCP using monitoring stacks like Prometheus, Grafana, Elasticsearch, Kibana, Splunk, and Zabbix.

What does a Site Reliability Engineer earn in California?

Median $214000 from 54 postings across 15 companies.

See salary data

Skills

HPC Distributed File Systems Lustre GPFS NetApp Pure Storage S3 MinIO Python Bash Golang AWS Azure GCP Prometheus Grafana Elasticsearch Kibana Splunk Zabbix RDMA InfiniBand RoCE Slurm PBS LSF Docker Kubernetes

What you'll do

Design and implement on-prem HPC storage solutions integrated with cloud computing to support growing IT needs.
Build scalable and efficient storage solutions tailored for data-intensive applications while optimizing performance and cost.
Develop automation tools for the deployment, management, monitoring, and alerting of large-scale infrastructure environments.
Create self-service mechanisms for resource consumption across the organization's infrastructure.
Perform technology evaluations and document procedures related to distributed file systems.
Identify and resolve performance bottlenecks for high-performance computing applications.
Manage enterprise NAS solutions including NetApp, Pure Storage, and S3-based storage like Cloudian MinIO.
Oversee parallel or distributed filesystems such as Lustre and GPFS.

What we're looking for

BS in Computer Science with 8+ years of experience, MS with 5+ years, or PhD with 3+ years of experience.
8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
Experience designing, deploying, and managing Enterprise NAS solutions like NetApp, Pure Storage, and S3-based storage such as Cloudian MinIO.
Experience with parallel or distributed filesystems such as Lustre or GPFS.
Proficiency in Python, Bash, or Golang programming and scripting.
Strong experience operating services in major cloud environments including AWS, Azure, or GCP.
Experience with monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana, Splunk, or Zabbix.
Preferred experience with RDMA fabrics, HPC cluster management tools (Slurm, PBS, LSF), and containerization technologies like Kubernetes.