About this role
The Product Application Engineer - Networking will support key customer and OEM engagements for current and next-generation AI networking and infrastructure products. This role serves as a technical escalation point for complex, multi-layer issues spanning hardware, firmware, drivers, and software across AI infrastructure stacks. Responsibilities include collaborating with engineering and marketing teams to resolve critical escalations, developing and delivering product training, and participating in an on-call rotation. The engineer will also integrate AI-assisted workflows, such as LLM-based diagnostics and agentic automation, into support operations, while mentoring junior engineers and driving process improvements. Key requirements include strong fundamentals in datacenter networking, AI infrastructure stacks (RDMA/RoCE, NCCL/RCCL), and AI cluster networking topologies. Candidates should possess solid scripting skills in Python, Go, or Shell, and have experience leading cross-functional troubleshooting efforts with hyperscalers or large enterprise customers. Familiarity with AI-powered tooling, DPU/SmartNIC technologies, and software development processes is considered a plus.