Senior Software QA Engineer, Virtualization

We are looking for Senior Software QA Engineer to provide world class support to our Enterprise and OEM customers.  Strong Windows OS knowledge and in-depth experience with various Linux Distribution (such as Redhat, Ubuntu, CentOS, SuSe, Fedora, etc). Extensive experience setting up virtualized environments.

NVIDIA has continuously reinvented itself over three decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, forward thinking, problem solver, and autonomous, we want to hear from you! NVIDIA constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today.

What You'll Be Doing :

Work with software developers, program managers, OEMS and Enterprise customers to investigate customer reported issues, assist in root cause determination, and verify reported defects are fixed.

You will setup complex virtualized environments.

Replicate Linux based reported issues.

Analyze and integrate customer provided code and logs to replicate issues reported.

You will help triage, isolate, and resolve reported problems.

Develop and implement software tools that improves productivity.

What We Need To See :

Extensive experience with virtualized environments such as VMware, Citrix, Hyper-V, KVM, AWS, Azure.

In-depth knowledge of the Linux kernels and driver stacks (Redhat, Ubuntu, CentOS, SuSe, Fedora, etc).

Deep understanding of the Windows OS.

Strong understanding of networking, storage, memory / resource management, and data center infrastructure domain.

Extensive scripting using Python required.

Deep knowledge of PC architecture, supercomputers, and computer clusters.

Strong interest in or knowledge of CUDA, OpenCL, and deep learning.

Good written and verbal communication skills are essential.

BS / MS in Computer Science or equivalent with 5 years or more experience.

Ways To Stand Out From The Crowd :

Strong interest and knowledge of Generative AI and various LLMs.

Automation experience using C / C++, Ansible, Java, JavaScript.

Experience in NVIDIA GPU Computing.