Level

NVIDIA

QA and Automation Engineer

NVIDIA is hiring a QA and Automation Engineer. Level rates it ; you can apply on Level.

AI in this role

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.

How we rate this

QA and Automation Engineer at NVIDIA rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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