AI GPU Data Center Architect – End-to-End Infra Leader

CareerArc; North Carolina; On-site; USD 150,000 - 230,000; Full time

Job summary

AMD is seeking a senior technical leader to design AI GPU cluster architectures for data centers. You will own the end-to-end technical narrative from solutioning to Basis of Design development, aligning AMD teams, partners, and OEMs around a coherent architecture.

The role demands a systems mindset to translate complex constraints into scalable, deployable designs, with strong customer-facing communication and rigorous architecture reviews.

Qualifications

• Bachelor's degree in Computer Engineering, Electrical Engineering, or Computer Science is required.
• Experience designing large-scale GPU or HPC clusters for AI workloads.
• Strong written and verbal communication for customer-facing activities.

Responsibilities

• Lead customer engagements to define AI GPU cluster architecture and develop complete Basis of Design documents.
• Architect end-to-end data center solutions including GPU platforms, networking, storage, power distribution, cooling, and floor layout.
• Translate AI workload requirements 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 deployable designs.
• Provide guidance on power redundancy, cooling strategies, network topology, and scalability.
• Support pre-sales, solution reviews, and executive-level technical discussions as needed.

Skills

GPU clustering

AI workloads

Customer engagements

Architecture reviews

Tradeoff communication

Education

Bachelor's degree in Computer Engineering

Tools

Basis of Design

Job description

AMD is seeking a senior technical leader to design AI GPU cluster architectures for data centers. You will own the end-to-end technical narrative from solutioning to Basis of Design development, aligning AMD teams, partners, and OEMs around a coherent architecture.

The role demands a systems mindset to translate complex constraints into scalable, deployable designs, with strong customer-facing communication and rigorous architecture reviews.