Software Quality Assurance Engineer - 2026 New College Grad

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$84,000–$143,750 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $158k
This role $114k
$71k most similar roles pay here $201k

This role pays less than 86% of similar roles. Most pay $129,000–$186,668 — the shaded band above. At the midpoint, this role pays about $114k versus about $158k 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 997 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 984 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Software Quality Assurance Engineer - 2026 New College Grad

NVIDIA’s Workstation and Virtualization team is hiring a QA Engineer to work on cutting-edge technology in computer graphics and accelerated computing. This role involves collaborating with customers, software engineers, and program managers to reproduce issues, perform root cause analyses, validate defect resolutions, and ensure product quality across various platforms. The ideal candidate will develop Python, C#, and C++ scripts for bug reproduction and troubleshooting efficiency while building AI-driven tools that enhance workflow efficiency. Proficiency in Windows and Linux environments, virtualization technologies like VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM, along with strong scripting skills, is essential. Candidates should have a background in Computer Science or related fields, experience with debugging tools, memory dump analysis, and remote debugging, as well as knowledge of graphics technology such as DirectX, OpenGL, WDDM, CUDA, and OpenCL.

What you'll do

  • Reproduce issues reported by OEMs, enterprise customers, and partners.
  • Perform root cause analyses and verify defect fixes with software developers.
  • Validate NVIDIA products on customer-specific platforms to ensure compatibility.
  • Build Python, C#, and C++ scripts to enhance bug reproduction efficiency.
  • Develop AI-driven tools to improve workflow efficiency in virtualization.

What we're looking for

  • Deep expertise in Windows and Linux environments and virtualization technologies (VMware ESXi, Citrix Hypervisor, Hyper-V, KVM).
  • Proficiency in Python, C#, and C++ for building scripts and diagnostic tools.
  • Proven ability to troubleshoot complex hardware and software issues across various platforms.
  • Solid knowledge of PC architecture, supercomputers, and computer clusters including caches, buses, memory controllers, DMA.
  • Experience with debugging tools, memory dump analysis, remote debugging, and Windows performance tracing (ETW).
  • Hands-on experience building, configuring, and troubleshooting PCs and servers.
  • Expertise in planning, installing, and optimizing virtualization environments.

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