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.)