NVIDIA’s Workstation and Virtualization team is hiring a QA Engineer to work on cutting-edge technology in computer graphics, PC gaming, 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 and diagnostic tools to enhance bug reproduction and troubleshooting efficiency while building AI-driven technologies that improve workflow efficiency. Proficiency in Windows and Linux environments, virtualization platforms like VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM, as well as strong scripting skills are essential. The role requires extensive experience in customer support or software/hardware testing, expertise in PC architecture, supercomputers, and computer clusters, and hands-on knowledge of debugging tools and memory dump analysis.
Skills
Python
C#
C++
VMware ESXi
Citrix Hypervisor
Microsoft Hyper-V
KVM
Linux
Windows
PowerShell
Bash
ETW
DirectX
OpenGL
WDDM
CUDA
OpenCL
Red Hat
Ubuntu
Generative AI
Gemini
Claude
Copilot
What you'll do
Reproduce and analyze issues reported by customers and partners.
Develop Python, C#, and C++ scripts for efficient bug reproduction and troubleshooting.
Validate NVIDIA products on various customer platforms to ensure compatibility and reliability.
Build AI-driven tools to enhance workflow efficiency in virtualization environments.
Optimize virtualization platforms like VMware ESXi, Hyper-V, and KVM for performance.
What we're looking for
At least 5 years of industry experience with 2+ years in customer support or software/hardware testing.
Proficient in Windows and Linux environments, including virtualization technologies (VMware ESXi, Hyper-V, KVM).
Strong scripting/automation skills using Python, C#, and C++ for building 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.
Experience with debugging tools, memory dump analysis, remote debugging, and Windows performance tracing (ETW).
Significant expertise in planning, installing, and optimizing virtualization environments.
Market check
Salary context
This
$132,000–$207,000
range sits above
51%
of similar postings on FindRole.
Peer median band
$117,000–$205,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,050–$200,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.