We are looking for a Software QA Engineer to join our team. This position will be part of the QA team with the main goal is testing the Network virtualization features for DPU and ConnectX, which enables NVIDIA products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will engage in the testing of SW industry-leading features, be able to learn new features, and develop and execute manual and automated tests.

What you'll be doing:

Review the architecture design and requirements for new features introduced by virtualization R&D and the software team.

Design, develop, and implement tests for the new features, as part of software GA releases or update releases

Report bugs found during execution, assist with reproduction and debugging to understand the root cause, verify bug fixes provided by the R&D team, and raise if not fixed

Implement tests in different scopes: regression, performance, functional, and security, and report the progress of testing and provide summary reports of testing activity

Write automation code to increase efficiency, flexibility, and scalability in Python.

What we need to see:

Practical / BA / BSc in Computer Science or Electrical Engineering

2 years of proven experience as a Software QA Engineer

Knowledge of Networking and system administration experience

Hands-on experience with Linux

Independent, responsible worker, able to plan and complete

A great teammate with good communication and interpersonal skills.

Ways to stand out from the crowd:

Professional knowledge in virtualization environments

Experience in Networking test design and automation

Proven programming experience in Python

Experience working with SoC