Software QA Engineer - AI Data Centers

Overview

• 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.