Software Verification Engineer, Bluefield Bmc

NVIDIA NVIDIA · Semiconductors · Tel Aviv, Israel +1

Software Verification Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. The role involves designing and implementing verification plans and automated environments, leading feature validation, identifying and reporting defects, and driving improvements for performance, quality, and stability.

What you'd actually do

  1. Design and implement comprehensive verification plans and automated environments, using Python, to validate high-end hardware and software which is at the forefront of innovation
  2. Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability
  3. Identify, analyze, and report software defects, inconsistencies, and other quality issues
  4. Make better product quality by improving tests coverage
  5. Take an active part in development, integration and verification with R&D

Skills

Required

  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
  • 3+ years of Python experience, specifically in testing complex embedded systems, system-level software, or firmware-integrated environments
  • Strong verification mindset with experience in developing modern Software testing System/QA automation and contribution with a real passion for automation
  • 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
  • Experience in Linux distributions (Centos/RedHat, Ubuntu, Fedora, SLES)
  • Extensive knowledge in Software debugging and problem solving skills

Nice to have

  • 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 as well as understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson)

What the JD emphasized

  • passion for deep-dive verification
  • passion for automation