Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 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. THE ROLE:  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. THE PERSON:  You are comfortable operating as a trusted technical advisor to senior management and at a deeply technical level. Own 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. KEY RESPONSIBILITIES: • 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. PREFERRED EXPERIENCE: • 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 Location is flexible in the US or Canada, though compensation may change based on location. This role is not eligible for visa sponsorship. #LI-RL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Requirements

Must-haves

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
Success in this role requires strong judgment, cross‑domain fluency, and the ability to turn complex constraints into clear, defensible designs.
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.
Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field required
Location is flexible in the US or Canada, though compensation may change based on location.
Benefits offered are described: AMD benefits at a glance .

Nice-to-haves

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.

Application prep

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Keywords to mirror

Platform: amd
Effort: medium