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QA and Automation Engineer

NVIDIARaanana, Center District, IsraelNot specifiedFull-timeSeniority: Not specified

Posted 26 days ago · 0 applicants

Salary not listed for this role

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Willbi insight

The role in plain words

Must-have
  • 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
Nice-to-have
  • 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

Extracted from the job description · kept up to date automatically

Who this suits

Full job description

Original listing · kept for reference

We are looking for a QA and Automation Engineer to join the NMX project team. NMX is a unified management, monitoring, and analytics platform for cloud and data center telemetry, built around key subsystems for telemetry collection, event-driven data processing, and control-plane management of networked systems.

This role is a strong fit for an early-career engineer who enjoys learning complex systems, building reliable automated tests, and working closely with developers to improve product quality.

What You’ll Be Doing

• 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.

What We Need To See

• 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.

Ways To Stand Out From The Crowd

• 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, which are relevant to NMX scope.

• Experience working with containerized or microservice-based systems; NMX Manager is described as a microservice architecture built around a message bus and Kubernetes-based orchestration.

• Interest in improving test quality through automation, tooling, and scalable validation practices.

, , JR2020508

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NVIDIA
Posted 26 days ago · 0 applicants
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