Senior Software Verification Engineer

We are looking for a Senior Software Verification Engineer with compute and network infrastructure expertise 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 Senior 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).

5+ years of experience in writing programs using Python.

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.

Background in Scripting (Bash, Groovy).

Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP).

Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware.

4+ years of 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:

Experience with PyTest or other testing tools.

Proficiency with data search and analytics engine (Elasticsearch, Kibana, Grafana).

Hands-on with virtualization in Linux (QEMU/KVM).

Work Background with CI/CD approach and toolset (Jenkins).

Knowledge of Docker and Kubernetes.

Understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson).