QA and Automation Engineer

NVIDIA; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

NVIDIA is seeking a QA and Automation Engineer to join the NMX project team. You will design and maintain automated tests for a cloud/data center telemetry platform built around observability, event processing, and microservice orchestration.

You’ll collaborate with developers and other QA engineers to improve test coverage, run regression suites, and contribute to CI pipelines and testing infrastructure in a Kubernetes-based environment.

Qualifications

• BSc in Computer Science, Software Engineering, Electrical Engineering or equivalent.
• 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.

Responsibilities

• 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.

Skills

Python scripting

Bash scripting

Linux debugging

Networking basics

Collaboration & communication

Education

Bachelor's degree in Computer Science or related

Tools

Jenkins

Docker

Kubernetes

Job description

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.