NVIDIA

Software Verification Engineer, Bluefield BMC

In short

This role verifies high-end hardware and software for NVIDIA's Data Processing Unit (DPU) SW Group, building automated test environments in Python and leading end-to-end feature validation across HW, FW, and SW teams. It's an entry-level position (0-2 years of Python experience) requiring a strong verification mindset, knowledge of networking/compute infrastructure, and familiarity with Linux distributions. Standout skills include PyTest, Elasticsearch/Kibana/Grafana, QEMU/KVM, CI/CD tooling like Jenkins, and Docker/Kubernetes with C/C++ toolchain experience.

# Software Verification Engineer, Bluefield BMC
We are looking for an excellent highly motivated SW Verification Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.
What you'll be doing:
•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
•Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability
•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 experience)
•0-2 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
•Knowledge/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
•Knowledge/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 as well as understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson)

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