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.)