Senior Software Quality Assurance Engineer

at Nvidia

USD 132,000-207,000 per year

SENIOR

✅ 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 @ 4 Bash @ 7 CUDA @ 4 Customer Support @ 6 Debugging @ 4 GenAI Generative AI @ 4 HTTP @ 4 LLM Linux @ 7 OpenCL @ 4 OpenGL @ 4 PowerShell @ 7 Python @ 7 QA @ 4

Details

NVIDIA is seeking a highly skilled QA Engineer to join the Workstation and Virtualization team. This role involves reproducing customer issues, performing root cause analyses, validating defect resolutions, and building tools to increase troubleshooting efficiency. The position requires deep expertise in Windows and Linux, extensive experience with virtualization platforms, and strong proficiency in Python, C#, and C++.

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 to increase bug reproduction and troubleshooting efficiency.
Build AI-driven tools and technologies that improve workflow efficiency.

Requirements

Bachelor’s 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 and Linux environments.
Extensive experience with virtualization technologies and platforms (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM).
Strong proficiency in Python, C#, and C++ and experience with scripting/automation (PowerShell, Bash).
Proven ability to troubleshoot and resolve complex hardware and software issues.
Solid knowledge of PC architecture, supercomputers, and computer clusters (caches, buses, memory controllers, DMA, etc.).
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 technologies such as DirectX, OpenGL, Windows Display Driver Model (WDDM), CUDA, and OpenCL.
Willingness to work flexible hours as needed.

Ways to Stand Out

Significant expertise in planning, installing, and optimizing virtualization environments (VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, KVM).
Strong working knowledge of Linux distributions (e.g., Red Hat, Ubuntu).
Experience using Generative AI platforms / LLMs (Gemini, Claude, Copilot, etc.) to develop AI-powered tools.

Benefits / Compensation

Base salary range: 132,000 USD - 207,000 USD (determined based on location, experience, and pay of employees in similar positions).
Eligible for equity and benefits. More information: http://www.nvidiabenefits.com/ and https://www.nvidia.com/en-us/benefits/

Additional Information

Applications for this job will be accepted at least until April 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.