Software Quality Assurance Engineer

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$84,000–$143,750 / yr
Posted
88 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $114k
$71k most similar roles pay here $202k

This role pays less than 79% of similar roles. Most pay $126,187–$187,034 — the shaded band above. At the midpoint, this role pays about $114k versus about $157k 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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View all roles at Nvidia

At a glance

TL;DR · Software Quality Assurance Engineer

Software Quality Assurance Engineer - 2026 New College Grad will join the Workstation and Virtualization team to ensure product quality across computer graphics, PC gaming, and accelerated computing. The role involves collaborating with customers, software engineers, and program managers to reproduce issues, perform root cause analyses, and validate defect resolutions on specific platforms. You will build Python, C#, and C++ based scripts and diagnostic tools to improve troubleshooting efficiency while developing AI-driven technologies for workflow optimization. Required skills include proficiency in Windows and Linux environments, experience with virtualization platforms like VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM, and knowledge of DirectX, OpenGL, CUDA, and OpenCL. You will also utilize PowerShell, Bash, and performance tracing tools to troubleshoot complex hardware and software issues within the workstation and virtualization domain.

What you'll do

  • Reproduce technical issues reported by OEMs, enterprise customers, and partners.
  • Perform root cause analyses to determine the source of software and hardware defects.
  • Verify defect resolutions and validate product fixes 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.
  • Build AI-driven tools and technologies to enhance workflow efficiency.
  • Troubleshoot complex hardware and software issues across Windows and Linux environments.
  • Optimize and configure virtualization platforms including VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM.

What we're looking for

  • Pursue a Bachelor’s degree, Master’s degree, or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields.
  • Proficiency in Windows and Linux distributions such as Red Hat and Ubuntu.
  • Expertise in virtualization technologies including VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM.
  • Proficiency in scripting and automation using Python, C#, C++, PowerShell, and Bash.
  • Proven ability to troubleshoot and resolve complex hardware and software issues.
  • Solid knowledge of PC architecture, supercomputers, and computer clusters including caches, buses, memory controllers, and DMA.
  • Hands-on experience with debugging tools, memory dump analysis, remote debugging, and Windows performance tracing tools like ETW.
  • Knowledge of graphics technologies such as DirectX, OpenGL, WDDM, CUDA, and OpenCL.

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