Software QA Engineer - AI Data Centers

NVIDIA is hiring a Software QA Engineer - AI Data Centers. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
NVIDIA has 2,700+ other open roles on Level.
Posted in the last few days.

AI in this role

We are seeking a motivated QA Engineer to join NVIDIA’s Data Center Networking. In this role, you will help validate next-generation data center platforms that power AI, cloud, and high-performance computing. You will be part of a team ensuring our firmware, drivers, and networking solutions meet industry-leading standards of efficiency and quality. This is a hands-on opportunity to work with advanced hardware, large-scale environments, and cutting-edge technologies, while gaining real-world QA and automation experience.

What you'll be doing:

Design, develop, and execute test plans for firmware and driver releases.
Perform manual and automated testing across regression, performance, scalability, and security domains.
Build and maintain test topologies in large-scale data center and AI-driven environments.
Develop and extend Python-based automation frameworks to improve coverage and efficiency.
Identify, reproduce, and track issues; collaborate with R&D to drive analysis and validate fixes.

What we need to see:

B.Sc. degree in Computer Science, Electrical/Computer Engineering
1+ years of Knowledge at Networking protocols and Linux systems.
Programming / scripting skills (Python preferred).
Good communication skills and the ability to work effectively in a team.
Strong motivation to learn and grow in firmware, networking, data center, and AI-related QA.

Ways to stand out from the crowd:

Previous or hands-on experience in QA or networking validation.
Experience with data center networking, AI workloads, virtualization, or cloud platforms.
Proactive, curious, and eager to take ownership of technical challenges.

At NVIDIA, you will work side-by-side with some of the best engineers in the industry, gaining mentorship, training, and hands-on experience that will accelerate your career. You’ll be exposed to state-of-the-art data center and AI technologies that drive the world’s most advanced applications. This role offers the chance to contribute to real product validation while building the skills, network, and knowledge to grow into a future leader in QA, firmware, networking, and AI-driven data center engineering.

How we rate this

Software QA Engineer - AI Data Centers at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.