Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Software QA Engineer – AI Data Centers

NVIDIA

. Design, develop, and execute test plans for firmware and driver releases .

Posted 11/6/2026full-timeYokneam • IsraelJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and executing test plans for firmware and driver releases, with a strong focus on Python-based automation frameworks and networking protocols. Proven ability to collaborate effectively with R&D teams to validate fixes and ensure quality standards in data center and AI-driven environments.

Highest-signal resume keywords
Firmware TestingPython Automation FrameworksNetworking ProtocolsData Center NetworkingQuality Assurance

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Test Plan DevelopmentAutomated TestingManual TestingPerformance TestingScalability TestingSecurity TestingIssue TrackingLinux SystemsScripting SkillsNetworking Validation
Soft Skills
Good Communication SkillsTeam CollaborationProactive AttitudeCuriosityOwnership
Tools & Technologies
AI WorkloadsVirtualizationCloud PlatformsTest Topologies
Industry Keywords
Data CenterFirmwareDriversQANetworking Solutions

Tech Stack

Tools & technologies
CloudLinuxPython

About the role

Key responsibilities & impact
  • 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
  • Validate firmware, drivers, and networking solutions against efficiency and quality standards

Requirements

What you’ll need
  • B.Sc. degree in Computer Science, Electrical/Computer Engineering
  • 1+ years of knowledge in networking protocols and Linux systems
  • Programming/scripting skills, with Python preferred
  • Good communication skills and ability to work effectively in a team
  • Strong motivation to learn and grow in firmware, networking, data center, and AI-related QA
  • 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

Benefits

Comp & perks
  • Mentorship and training
  • Hands-on experience with advanced hardware, large-scale environments, and cutting-edge technologies
  • Exposure to state-of-the-art data center and AI technologies
  • Opportunity to contribute to real product validation
  • Career development toward leadership in QA, firmware, networking, and AI-driven data center engineering