Software Quality Assurance Engineer - 2026 New College Grad

at Nvidia

USD 84,000-166,800 per year

JUNIOR 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 @ 3 Bash @ 3 CUDA @ 3 Debugging @ 3 GenAI Generative AI @ 3 LLM Linux @ 6 OpenCL @ 3 OpenGL @ 3 PowerShell @ 3 Python @ 3 QA @ 3

Details

NVIDIA is seeking a QA Engineer to join the Workstation and Virtualization team. This role involves reproducing issues, performing root cause analyses, validating defect resolutions, and building diagnostic and AI-driven tools to improve testing and troubleshooting efficiency. The position emphasizes deep expertise in Windows and Linux environments, virtualization platforms, and strong programming/scripting skills.

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

Pursuing a Bachelor’s or Master’s degree (or equivalent experience) in Computer Science, Electronics, Software Engineering, or related fields.
Proficient in Windows and virtualization technologies: VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM.
Scripting/automation experience with Python, PowerShell, and 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.
Strong proficiency in Python, C#, and C++.

Ways to Stand Out

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.

Compensation & Benefits

Base salary ranges by level:
- Level 1: 84,000 USD - 143,750 USD per year
- Level 2: 100,000 USD - 166,750 USD per year
Eligible for equity and benefits (see www.nvidiabenefits.com).

Additional Information

Applications accepted until June 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer and committed to an inclusive work environment.