NVIDIA

Software QA Engineer - AI Data Centers

Israel, Yokneam · Israel, Tel Hai

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

Keywords matched to this posting
Fit score before you apply
Cover letter included

Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family: Engineering
Seniority: Mid level
Country: IL
Work mode: On-site / unstated
First seen by hirly: 6 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on NVIDIA's site ↗

Listed on hirly, a job board. hirly is not the employer: NVIDIA is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job