Nvidia

Nvidia

Senior Site Reliability Engineer - Storage

US, CA, Santa Clara · Senior

Sponsorship not specifiedDetected 4 days ago
PythonGoBashAWSGCPAzureCloud PlatformsDockerKubernetesSite Reliability EngineeringNetwork MonitoringCommunicationCollaboration

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 399 green-card filings in this occupation, 96% were for a worker who already held the job.

Green-card intent detected

NVIDIA Corporation obtained a prevailing wage determination for Software Developers in Santa Clara, CALIFORNIA on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 92%

Of 382 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization.
  • The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
  • Our work opens up new universes to explore, enables unique creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.

Responsibilities

  • Design, implement an on-prem HPC infrastructure supplemented with cloud computing to support the growing IT needs of NVIDIA.
  • Design and implement scalable and efficient Storage solutions tailored for data-intensive applications, optimizing performance and cost-effectiveness.
  • Develop tooling to automate deployment and management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources.
  • Document the general procedures and practices, perform technology evaluations, related to distributed file systems.
  • Collaborate across teams to better understand developers' workflows and gather their infrastructure requirements.
  • Influence and guide methodologies for building, testing, and deploying applications to ensure optimal performance and resource utilization.
  • Design, deployment and management of Enterprise NAS solutions like NetApp, Pure Storage and S3 based storage such as cloudian MinIO.
  • You will be responsible for crafting and deploying distributed storage solutions, build automation tools, and ensuring the efficient operations of our growing IT ecosystem.
  • You will collaborate closely with engineering teams to align infrastructure with their evolving needs, document best practices, and contribute to the success of ground breaking projects.

Requirements

  • What we need see: BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience.
  • 8+ years of experience crafting technology solutions and resolving performance bottlenecks for HPC applications.
  • Experience with one or more parallel or distributed filesystems such as Lustre, GPFS.
  • Experience with multiple monitoring stacks such as Prometheus+Grafana, Elasticsearch+Kibana, Splunk, Zabbix, etc.
  • Prior Experience with HPC cluster management tools such as Slurm, PBS, LSF, etc.
  • Experience with containerization technologies, such as Docker, Mesosphere DCOS, Kubernetes (k8s).
  • BS in Computer Science (or equivalent experience) with 8+ years of relevant experience, MS with 5+ years of experience or Ph.D. with 3 years of experience.

Compensation

  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • The base salary range is 168,000 USD - 270,250 USD for Level 4, and 208,000 USD - 333,500 USD for Level 5.

Company info

  • Ways To Stand Out Of The Crowd: Background with RDMA (InfiniBand or RoCE) fabrics.

Equal opportunity

  • NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.