Senior Software Quality Assurance Engineer

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
168 days ago
Freshness
Confirmed live today

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Similar $168k
$109k $223k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,331–$186,300.

Based on 240 similar postings.

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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 Quality Assurance Engineer

The Senior Software Quality Assurance Engineer joins the Workstation and Virtualization team to ensure product quality across computer graphics, PC gaming, and accelerated computing. You will collaborate with customers, software engineers, and program managers to reproduce issues, perform root cause analyses, and validate defect resolutions on customer-specific platforms. Your daily work involves building Python, C#, and C++ scripts and diagnostic tools to improve troubleshooting efficiency, as well as developing AI-driven technologies to enhance workflows. The role requires deep expertise in Windows and Linux environments, specifically optimizing virtualization platforms like VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM. You must possess technical knowledge of PC architecture, supercomputers, and graphics technologies including DirectX, OpenGL, WDDM, CUDA, and OpenCL to solve complex hardware and software problems.

What you'll do

  • Reproduce technical issues reported by OEMs, enterprise customers, and partners.
  • Perform root cause analyses and verify defect resolutions with software developers and program managers.
  • Validate NVIDIA products on customer-specific platforms and configurations for compatibility and reliability.
  • Develop Python, C#, and C++ scripts and diagnostic tools to improve bug reproduction and troubleshooting.
  • Build AI-driven tools and technologies to enhance workflow efficiency.
  • Troubleshoot and resolve complex hardware and software issues across Windows and Linux environments.
  • Configure and optimize virtualization platforms including VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM.

What we're looking for

  • Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields.
  • 5+ years of industry experience.
  • At least 2 years of experience in customer support or software/hardware testing.
  • Proficiency in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM), and scripting (Python, PowerShell, Bash).
  • Proficiency in C# and C++.
  • Proven ability to troubleshoot and resolve complex hardware and software issues.
  • Solid knowledge of PC architecture, supercomputers, and computer clusters.
  • Experience with debugging tools, memory dump analysis, and Windows performance tracing tools (e.g., ETW).
  • Knowledge of graphics technology such as DirectX, OpenGL, WDDM, CUDA, and OpenCL.
  • Significant expertise in planning, installing, and optimizing virtualization environments (preferred).
  • Strong working knowledge of Linux distributions (preferred).
  • Experience using Generative AI platforms or LLMs to develop tools (preferred).

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