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

Nvidia

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$168,000–$270,250 / yr
Employment
Full-time
Posted
54 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $219k
$104k $288k
below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $149,025–$191,687 — the blue band above. At the midpoint, this role pays about $219k versus about $170k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Development Engineer in Test, NPI Bring-up SDET

The Senior Software Development Engineer in Test - NPI Bring-up SDET joins the Compute CUDA Quality Assurance team to drive validation readiness for PCIe Data Center GPU programs. This role involves leading test planning, execution readiness, defect triage, and automation from early platform bring up through key release stages. You will build Python, C, C++, CUDA, and Bash test applications, automation frameworks, and GitLab or Jenkins pipelines. Responsibilities include converting NPI failures and customer defects into automated regression coverage while applying AI assisted tools to analyze test runs. You will collaborate across GPU architecture, firmware, and system platform teams to translate feature requirements into measurable coverage. The work focuses on solving Linux and Windows system issues across hardware, firmware, operating system, driver, and application layers.

What you'll do

  • Develop CUDA Compute test plans for PCIe high-performance computing GPUs and NVIDIA systems.
  • Build test applications and automation frameworks using Python, C, C++, CUDA, and Bash.
  • Create and manage CI/CD pipelines using GitLab or Jenkins for release configurations.
  • Convert NPI failures and customer defects into reliable automated regression coverage.
  • Drive defect resolution by providing clear reproduction steps, root cause analysis, and fix verification.
  • Apply AI-assisted tools to analyze test runs and validate conclusions against source logs.
  • Translate feature requirements into measurable test coverage and identify release risks.

What we're looking for

  • A BS or MS in Engineering, Computer Science, or a related field, or equivalent experience.
  • 8+ years of experience in software quality, test automation, or software development and validation.
  • Experience solving Linux and Windows system issues and debugging across hardware, firmware, operating system, driver, and application layers.
  • Proficiency in programming and scripting languages including Python, C, C++, CUDA, and Bash.
  • Knowledge of QA methodology, risk-based test planning, functional validation, regression strategy, CI/CD, and defect triage.
  • Experience with NVIDIA GPU hardware, CUDA, PCIe-based GPUs, or CUDA C/C++ parallel programming (preferred).
  • Experience developing scalable validation infrastructure for labs, cloud environments, containers, or virtualization (preferred).
  • Practical use of AI assisted analytics for test planning, automation, failure analysis, or defect detection (preferred).

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