NVIDIA

QA and Automation Engineer

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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.