Senior Network Engineer, System Verification

NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within NVIDIA’s Data Center and HPC environments. You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring NVIDIA products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology! What you’ll be doing: Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios Compose and build complex testbed topologies that emulate customer environments Implement, run and optimize integration test plans including functional, regression, and performance testing Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution Collaborate with automation teams Analyze and optimize network performance, latency, and efficiency Provide clear status updates, reports, and insights on system quality and performance What we need to see: B.Sc. in Computer Science, Electrical Engineering, or related field (or equivalent experience) 8+ years of experience in networking, system validation, or related engineering roles Strong hands-on experience with Linux-based systems Deep understanding of networking protocols (TCP/IP, UDP, Ethernet, VLANs, L2/L3) Experience with routing, switching, and modern data center network architectures Strong troubleshooting, debugging, and analytical skills in distributed environments Experience with test methodologies (functional, regression, performance, scale) Scripting or programming experience (Python, Bash, etc.) Independent, fast learner with strong ownership and communication skills Ways to stand out from the crowd: Experience with RDMA technologies (RoCE / InfiniBand) Knowledge of congestion control algorithms and performance tuning Familiarity with AI workloads and their networking requirements Experience with HPC environments and benchmarking tools Background with virtualization or container technologies (Kubernetes, KVM, etc.)