Software Development Engineer in Test focusing on automation and quality assurance in Java. Collaborating with DevOps to enhance testing efficiencies in a global development environment.
NV
Onsite Networking Solution Test Engineer – AI, IB and Ethernet Cluster Debugging
Posted yesterday
About the role
- Networking Test Engineer at NVIDIA working on AI Ethernet-based clusters. Design tests, troubleshoot issues, and analyze AI cluster behavior in Shanghai/Beijing.
Responsibilities
- Design and review test and product requirements across the InfiniBand / Ethernet / NIC / DPU / Switch portfolio, focusing on large-scale AI cluster behavior.
- Build and maintain realistic customer-like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.
- Own end-to-end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.
- Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.
- Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.
- Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.
- Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data-driven reports to stakeholders.
- Profile and benchmark deep learning training and inference workloads, correlating model-level metrics with system and network telemetry to uncover bottlenecks.
Requirements
- B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.
- 2 + years of hands-on networking or system-level testing and debugging on Linux.
- Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).
- Proven production-grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.
- Expertise in host-side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).
- Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.
- Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.
- Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.
- Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.
- Excellent analytical, problem-solving and communication skills, with strong ownership and a collaborative mindset.
Benefits
- NVIDIA is committed to fostering a diverse work environment
- Pride to be an equal opportunity employer
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