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NVIDIA

Networking QA Automation Engineer

NVIDIA

. Design, develop, and execute manual and automated tests as part of software stack releases.

Posted 10/14/2026full-timeTel Aviv • IsraelJuniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in software testing methodologies, automation scripting in Python and Perl, and a strong understanding of networking concepts and protocols. Capable of collaborating with cross-functional teams while effectively managing testbed topologies and debugging complex issues.

Highest-signal resume keywords
Automation Scripting (Python, Perl, Shell)Software Testing MethodologiesNetworking Concepts and ProtocolsDebugging SkillsTest Planning and Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
QA TestingTest PlanningAutomation TestingDebuggingLinuxTCP/IPRouting ProtocolsLAN SwitchingVirtualized EnvironmentsGenerative AI Platforms
Soft Skills
Analytical SkillsAttention to DetailClear Verbal CommunicationProficient Written Communication
Tools & Technologies
GitGerritKVMVMwareLinux/Windows
Industry Keywords
Testbed TopologiesEnd-to-End Test LifecycleRelease ManagementNVIDIA TechnologiesData Center Topologies

Tech Stack

Tools & technologies
LinuxPerlPythonSwitchingTCP/IPUnixVMware

About the role

Key responsibilities & impact
  • Design, develop, and execute manual and automated tests as part of software stack releases.
  • Define, build, and manage testbed topologies for functional, regression, and performance validation.
  • Analyze architectural designs and feature requirements for new networking capabilities.
  • Debug failures, identify root causes, and verify fixes delivered by development teams.
  • Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.
  • Write and maintain automation tests across multiple frameworks, including Python and Perl, enhancing test efficiency and scalability.
  • Collaborate with cross-functional global teams including R&D, product marketing, and system verification.

Requirements

What you’ll need
  • B.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field.
  • 1-3 years of hands-on experience in the field of QA testing.
  • Strong understanding of software testing methodologies, test planning, and bug lifecycle.
  • Hands-on experience in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms.
  • Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs).
  • Strong analytical and debugging skills with an eye for detail.
  • Clear verbal, proficient written and spoken English.
  • Experience in Python automation and working with source control tools (Git, Gerrit) is advantageous.
  • Solid knowledge of Linux and kernel internals is advantageous.
  • Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows) is advantageous.
  • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. is advantageous.
  • In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies is advantageous.
  • Exposure to QA methodologies, release management, and end-to-end test lifecycle is advantageous.
  • Familiarity with NVIDIA technologies such as Infiniband, NVLINK, and GPUs is advantageous.