Data Center Infrastructure Architect

This role blends deep GPU cluster architecture expertise with customer-facing technical leadership. It requires a systems-level thinker who can translate customer requirements into complete, buildable data center designs-spanning compute, networking, storage, power, cooling, and physical layout., * 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., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

You are comfortable operating as a trusted technical advisor to customers, owning the end-to-end technical narrative from early solutioning through Basis of Design development, while aligning AMD internal teams, partners, and OEMs around a coherent architecture.

Success in this role requires strong judgment, cross-domain fluency, and the ability to turn complex constraints into clear, defensible designs., * 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

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.