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 @ 5
CUDA @ 3
Debugging @ 3
GenAI
Generative AI @ 3
LLM
Linux @ 6
OpenCL @ 3
OpenGL @ 3
PowerShell @ 5
Python @ 5
- 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.
Details
NVIDIA is seeking a QA Engineer to join its Workstation and Virtualization team. This role involves working with innovative technology related to computer graphics, PC gaming, and accelerated computing. You will collaborate with customers, software engineers, and program managers to reproduce issues, perform root cause analysis, and validate defect resolutions.
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 improve 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 a related field.
- Proficiency with Windows, virtualization technologies, and scripting or automation using Python, PowerShell, and Bash.
- Ability to troubleshoot and resolve complex hardware and software issues.
- Knowledge of PC architecture, supercomputers, and computer clusters, including caches, buses, memory controllers, and DMA.
- Experience building, configuring, and troubleshooting PCs and servers.
- Hands-on experience with debugging tools, memory dump analysis, remote debugging, and Windows performance tracing tools such as ETW.
- Knowledge of graphics technologies including DirectX, OpenGL, Windows Display Driver Model, CUDA, and OpenCL.
Preferred Qualifications
- Expertise planning, installing, and optimizing virtualization environments using VMware ESXi, Citrix Hypervisor, Microsoft Hyper-V, and KVM.
- Strong working knowledge of Linux distributions such as Red Hat and Ubuntu.
- Experience using generative AI platforms and large language models such as Gemini, Claude, and Copilot to develop AI-powered tools.
Benefits
- Base salary range of $84,000–$143,750 for Level 1.
- Base salary range of $100,000–$166,750 for Level 2.
- Eligibility for equity and benefits.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
Applications will be accepted at least until June 19, 2026. This posting is for an existing vacancy.
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