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NVIDIA

QA Automation Engineer

NVIDIA

. Design, execute, and maintain manual and automated test coverage for NMX features across functional, integration, and end-to-end scenarios .

Posted 10/7/2026full-timeRaanana • IsraelJuniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in test automation, validation, and quality assurance for complex systems, with strong programming skills in Python and Bash. Proficient in collaborating with cross-functional teams to enhance automation frameworks and improve test quality in dynamic environments.

Highest-signal resume keywords
Test AutomationPython ProgrammingLinux EnvironmentsContinuous IntegrationNetworking Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Test CoverageAutomation ScriptsRegression SuitesLog AnalysisDebuggingTelemetry SystemsMonitoring SystemsDistributed SystemsMicroservice-Based SystemsInfrastructure Software
Soft Skills
CollaborationCommunication
Tools & Technologies
Automation FrameworksCI PipelinesTest Infrastructure Tooling
Industry Keywords
Data CenterCluster EnvironmentsControl-Plane BehaviorsObservabilityEthernetInfiniBandNVLink

Tech Stack

Tools & technologies
Distributed SystemsLinuxPython

About the role

Key responsibilities & impact
  • Design, execute, and maintain manual and automated test coverage for NMX features across functional, integration, and end-to-end scenarios
  • Validate core NMX workflows across telemetry, monitoring, analytics, and control-plane behaviors in data center and cluster environments
  • Develop and improve automation scripts, regression suites, and validation flows to increase coverage, stability, and execution efficiency
  • Investigate test failures, analyze logs and system behavior, reproduce issues, and work with developers to drive resolution
  • Collaborate with QA, software, DevOps, and architecture teams to support continuous integration and release readiness
  • Contribute to the team’s automation infrastructure, tools, and methodologies, in line with current QA automation team responsibilities around frameworks, infrastructure, and DevOps support

Requirements

What you’ll need
  • B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent experience
  • 1+ years of experience in software QA, validation, or test automation for complex systems
  • Hands-on programming or scripting ability in Python, Bash, or a similar language used for automation
  • Familiarity with Linux environments, debugging, and log analysis
  • Basic understanding of networking, distributed systems, or infrastructure software
  • Good collaboration and communication skills, with the ability to work closely with developers and other QA engineers
  • Exposure to automation frameworks, CI pipelines, or test infrastructure tooling
  • Familiarity with telemetry, observability, or monitoring systems
  • Background in networking technologies such as Ethernet, InfiniBand, or NVLink-related environments
  • Experience working with containerized or microservice-based systems
  • Interest in improving test quality through automation, tooling, and scalable validation practices