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.)

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