Job description

NVIDIA is seeking a highly skilled QA Engineer to join our Workstation and Virtualization team. This is an outstanding opportunity to work with innovative technology and contribute to advancements in computer graphics, PC gaming, and accelerated computing. You will collaborate closely with customers, software engineers, and program managers to reproduce issues, perform root cause analyses, and validate defect resolutions, ensuring flawless product quality. Our ideal candidate will possess deep expertise in both Windows and Linux environments, extensive experience in optimizing virtualization platforms (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM), and strong proficiency in Python, C#, and C++. If you're passionate about solving challenging technical problems and developing powerful AI tools that enhance workflow efficiency, this role is perfect for you! What You’ll Be Doing: • Reproduce issues reported by OEMs, enterprise customers, and partners. • Collaborate with software developers, program managers, and customers to determine root causes, and verify defect fixes. • Validate NVIDIA products on customer-specific platforms and configurations to ensure compatibility and reliability. • Build Python, C#, and C++-based scripts and diagnostic tools aimed at increasing bug reproduction and troubleshooting efficiency. • Build AI-driven tools and technologies that improve workflow efficiency. What We Need to See: • Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields. • 5+ years of industry experience, including at least 2 years in customer support or software/hardware testing. • Proficient in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM) and scripting/automation (Python, PowerShell, 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, DMA, and related components. • Extensive experience building, configuring, and troubleshooting PCs and servers. • Hands-on experience with debugging tools, memory dump analysis, remote debugging and Windows performance tracing tools (e.g., ETW). • Knowledge of graphics technology such as DirectX (DX), OpenGL (OGL), Windows Display Driver Model (WDDM), CUDA, and OpenCL. • Willingness to work flexible hours as needed. Ways to Stand Out from the Crowd: • Significant expertise in planning, installing, and optimizing virtualization environments (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM). • Strong working knowledge of Linux distributions (e.g., Red Hat, Ubuntu). • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until May 16, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Reproduce issues reported by OEMs, enterprise customers, and partners.
Collaborate with software developers, program managers, and customers to determine root causes, and verify defect fixes.
Validate NVIDIA products on customer-specific platforms and configurations to ensure compatibility and reliability.
Build Python, C#, and C++-based scripts and diagnostic tools aimed at increasing bug reproduction and troubleshooting efficiency.
Build AI-driven tools and technologies that improve workflow efficiency.
Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields.
5+ years of industry experience, including at least 2 years in customer support or software/hardware testing.
Proficient in Windows, virtualization technologies (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM) and scripting/automation (Python, PowerShell, 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, DMA, and related components.
Extensive experience building, configuring, and troubleshooting PCs and servers.
Hands-on experience with debugging tools, memory dump analysis, remote debugging and Windows performance tracing tools (e.g., ETW).
Knowledge of graphics technology such as DirectX (DX), OpenGL (OGL), Windows Display Driver Model (WDDM), CUDA, and OpenCL.
Willingness to work flexible hours as needed.
Significant expertise in planning, installing, and optimizing virtualization environments (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM).
Strong working knowledge of Linux distributions (e.g., Red Hat, Ubuntu).
Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until May 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

Platform: eightfold
Effort: medium