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Product Application Engineer - Networking

AMD· Engineering
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BangaloreFull-timePosted 1mo ago

About the role

Engineering role focused on supporting AI networking and infrastructure products, with emphasis on customer engagements, technical escalations, and cross-functional collaboration.

Responsibilities

  • Support key customer and OEM engagements for current and next generation of AI networking and networking infrastructure products.
  • Collaborate across various teams in Engineering and Marketing to help resolve critical escalations.
  • Serve as a technical escalation point for complex, multi-layer issues spanning hardware, firmware, drivers, and software across AI infrastructure stacks.
  • Develop and deliver systems/product training to customers and contribute to the knowledge base for customer support and internal partners.
  • Be part of an on-call rotation to support production systems.
  • Develop and integrate AI-assisted workflows (e.g., LLM-based diagnostics, predictive failure analysis, agentic automation) into support operations and tooling.
  • Mentor junior engineers on technical approach, debugging methodology, and customer engagement best practices.
  • Drive process improvements and define best practices for support workflows based on recurring issue patterns and field data.

Qualifications

  • Strong fundamentals in Datacenter Networking, Routing & Switching including load balancing (ECMP), underlay/overlay technologies, and network observability.
  • Strong fundamentals with the AI infrastructure stack — RDMA/RoCE, collective communication libraries (NCCL/RCCL), and distributed training and inference frameworks.
  • Understanding of AI cluster networking topologies, including rail-optimized and fat-tree designs for GPU-to-GPU communication.
  • Solid scripting and automation skills in Python, Go, or Shell.
  • Demonstrated ability to lead cross-functional troubleshooting efforts and drive resolution for critical, multi-team escalations.
  • Experience leading engagements with Hyperscalers, large enterprise, and OEM customers in a technical support role.
  • Familiarity with AI-powered tooling and automation (LLMs, AI agents, copilots) for engineering productivity and support operations.
  • Comfortable participating in and leading customer meetings, presenting technical findings, and translating complex issues into clear status updates for engineering leads and management.

Skills

Required:Datacenter Networking fundamentalsAI infrastructure stack fundamentalsAI cluster networking topologiesScripting / AutomationCross-functional leadershipCustomer engagement / presentation
Nice to have:AI-powered tooling familiaritySoftware development tools

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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