• Lead customer engagements to define AI GPU cluster architecture and develop complete Basis of Design (BoD) documents.
• Architect end‑to‑end data center solutions including GPU platforms, high‑speed networking, storage, power distribution, cooling, and floor layout.
• Translate AI workload requirements (training, inference, mixed workloads) into scalable, reliable infrastructure designs optimized for AMD platforms.
• Partner with customers, OEMs/ODMs, and AMD internal teams to align on technical decisions and tradeoffs.
• Perform architecture reviews, gap analysis, and risk assessments to ensure designs are deployable and operationally sound.
• Provide guidance on best practices for power redundancy, cooling strategies, network topology, and cluster scalability.
• Support pre‑sales, solution reviews, and executive‑level technical discussions as needed.

• Experience designing large‑scale GPU or HPC clusters for AI workloads.
• Understanding of data center architecture including:
  • High‑speed Ethernet networking
  • Distributed and parallel storage systems
  • Power distribution, redundancy, and capacity planning
  • Air and liquid cooling solutions
  • Physical layout and rack‑level design
• Experience producing or reviewing Basis of Design, reference architectures, or similar engineering documentation.
• Customer‑facing technical experience with the ability to clearly communicate complex tradeoffs.
• Strong systems mindset with the ability to connect compute, network, storage, and facilities constraints.
• Excellent written and verbal communication skills.
• High ownership, attention to detail, and ability to operate independently across ambiguous problem spaces.

ACADEMIC CREDENTIALS:

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field required