Nvidia Senior Software Verification Engineer 

Israel, Center District, Raanana 

341411277

Software Verification Engineer, you will play a crucial role in ensuring on-time and high-quality releases.

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.

• Proficiencywith data search and analytics engine (Elasticsearch, Kibana, Grafana).

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

• Work Backgroundwith 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).