Software Quality Assurance Engineer

at Nvidia

📍 Santa Clara, United States

USD 84,000-166,800 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Bash @ 5 CUDA @ 3 Debugging @ 3 Linux OpenCL @ 3 OpenGL @ 3 PowerShell @ 5 Python @ 5

Details

NVIDIA is seeking a QA Engineer to join our Workstation and Virtualization team. This role involves reproducing issues, performing root cause analyses, validating defect resolutions, and ensuring flawless product quality. You will collaborate closely with customers, software engineers, and program managers, with deep expertise across Windows and Linux environments.

Responsibilities

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.

Requirements

Pursuing Bachelor’s degree or Master’s degree or equivalent experience in Computer Science, Electronics, Software Engineering, or related fields.
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.