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Senior Network Engineer – GPU Cluster Networking

AMD· Engineering
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San Jose, CA$237.2kFull-timePosted 2w ago

About the role

Design, automate, scale, and operate high-performance networks powering AMD Instinct GPU clusters for AI training, inference, and HPC workloads. Collaborate with AI, platform, systems, and data center teams to influence network architecture and drive global campus networking initiatives.

Responsibilities

  • Design, deploy, operate, and continuously improve data center networks supporting large-scale AI and HPC environments.
  • Develop scalable network architectures and optimize performance across compute, storage, and networking infrastructure.
  • Automate network operations and implement solutions that improve reliability, efficiency, and scalability.
  • Lead troubleshooting, incident response, root cause analysis, and continuous improvement initiatives.
  • Plan and execute network expansions, technology upgrades, and infrastructure migrations.
  • Support and enhance global campus networking technologies including wireless, LAN, WAN, and SD-WAN environments.
  • Partner with cross-functional engineering and operations teams to deliver highly available network solutions.

Qualifications

  • Bachelor's or Master's degree in Computer Engineering, Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • CCIE or comparable advanced networking certifications are valued.

Skills

Required:Data center networking designNetworking technologies (Ethernet fabrics, BGP, ECMP, QoS, EVPN, VXLAN)
Nice to have:RoCEv2, RDMANetwork automation / IaCEnterprise/data center networking platforms

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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