Nvidia

Nvidia

Senior Software Development Engineer in Test - NPI Bring-up SDET

US, CA, Santa Clara · Senior

Sponsorship not specifiedDetected 2 days ago
PythonC++BashGitCloud PlatformsCI/CDJenkinsLinuxTest AutomationCommunication

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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 5 green-card filings in this occupation, 100% 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

  • This role combines new silicon bring up, CUDA and NVIDIA Driver quality, automation development, test infrastructure, and AI assisted quality analysis.
  • Join the team and help advance the next generation of NVIDIA Data Center GPUs!
  • Convert NPI failures, customer defects, root cause findings, and suitable manual tests into reliable automated regression coverage.

Responsibilities

  • Develop CUDA Compute test plans and coordinate validation across PCIe high-performance computing GPUs, NVIDIA systems, OEM servers, GPU configurations, operating systems, driver modes, CUDA versions, and release stages.
  • Build Python, C, C++, CUDA, and Bash test applications, automation frameworks, release configurations, and GitLab or Jenkins pipelines.
  • Apply AI assisted tools to analyze test runs and validate conclusions against source logs and engineering decisions.
  • We are seeking a Senior Software Engineer in Test to join the Compute CUDA Quality Assurance team and drive validation readiness for PCIe Data Center GPU programs.
  • We lead test planning, execution readiness, defect triage, and automation from early platform bring up through key release stages.

Requirements

  • Experience with developing scalable validation infrastructure for labs, cloud environments, containers, virtualization, or configuration management.
  • Experience with NVIDIA GPU hardware, CUDA, PCIe-based GPUs built for data centers, server platforms, CUDA C or C++ parallel programming, multiple GPU validation, P2P, reliability, or stress testing.

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.

Benefits

  • Drive defects with clear reproduction steps, affected configurations, intended and actual results, supporting evidence, release impact, fix verification, and adjacent regression coverage.

Company info

  • Ways to stand out from the crowd:

Equal opportunity

  • NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
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This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.