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.
  
  

• 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.
  
  

• 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)