Software Verification Engineer

We are looking for a Software Verification Engineer with compute and network infrastructure background for working on NVIDIA SW acceleration solutions. Our products encompass Ethernet and InfiniBand protocols, delivering a wide range of cutting-edge networking, storage, and security services for cloud, complex compute, and AI workloads. As a Software Verification Engineer, you will play a crucial role in ensuring on-time and high-quality releases. If you bring with your excellence and creative thinking while solving issues as they arise, and if you enjoy working with distributed teams - your place is with us!

What you’ll be doing:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation
Develop and maintain test automation frameworks and scripts using Python and Bash.
Identify, analyze, and report software defects, inconsistencies, and other quality issues.
Make better product quality by improving tests coverage
Take an active part in development, integration and verification with R&D
Drive improvements for performance, quality, stability around SW acceleration solutions.
Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

What we need to see:

Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
Experience in developing modern Software Verification System/QA automation and contribution with a real passion for automation
Proved knowledge in performance testing scenarios and creation of performance reports
Good background in designing, implementing, and debugging Software
3+ years of experience in writing programs using Python
Expertise in networking & compute infrastructure (servers, switches, routers)
Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware
Experience in Linux distributions (Centos/RedHat, Ubuntu, Fedora, SLES)
Extensive knowledge in Software debugging and problem solving skills.

Ways to stand out from the crowd:

Knowledge in testing methodologies and tools
Hands-on with virtualization/containerization in Linux (QEMU/KVM/Docker/K8s)
Work Background with CI/CD approach and toolset (Jenkins)
Background in Scripting (Bash, Python)