Data Center Infrastructure Architect

Advanced Micro Devices, Inc.; Raleigh (NC); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Advanced Micro Devices, Inc. is seeking a role blending GPU cluster architecture with customer-facing technical leadership to deliver complete AI-ready data center solutions.

The candidate translates AI workload requirements into scalable, end-to-end designs spanning compute, networking, storage, power, cooling, and layout. You will act as a trusted technical advisor, aligning AMD teams and external partners around coherent architectures, with strong judgment and cross-domain fluency in a

Qualifications

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science or a related field.
• Experience designing large GPU/HPC clusters for AI workloads.
• Experience producing or reviewing Basis of Design or reference architectures.
• Customer-facing technical experience with clear communication of tradeoffs.
• Strong systems mindset connecting compute, network, storage, and facilities constraints.
• Excellent written and verbal communication skills.

Responsibilities

• Lead customer engagements to define AI GPU cluster architecture and develop Basis of Design documents.
• Architect end-to-end data center solutions including GPU platforms, networking, storage, power, cooling, and floor layout.
• Translate AI workload requirements into scalable, reliable infrastructure designs for AMD platforms.
• Partner with customers, OEMs/ODMs, and internal teams to align on technical decisions and tradeoffs.
• Perform architecture reviews, gap analysis, and risk assessments for deployable designs.
• Provide guidance on power redundancy, cooling strategies, network topology, and cluster scalability.
• Support presales, solution reviews, and executive-level technical discussions.

Skills

GPU cluster design

Data center architecture

Basis of Design

Customer-facing leadership

Analytical reasoning

Cross-domain fluency

Technical communication

Education

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who doesn't shy away from humanity's challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.

THE ROLE:

This role blends deep GPU cluster architecture expertise with customer-faceting 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 customers, owning the endtoend 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 endtoend data center solutions including GPU platforms, highspeed 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 presales, solution reviews, and executive-level technical discussions as needed.

PREFERRED EXPERIENCE:

• Experience designing largescale GPU or HPC clusters for AI workloads.
• Understanding of data center architecture including:

  - Highspeed Ethernet networking
  - Distributed and parallel storage systems
  - Power distribution, redundancy, and capacity planning
  - Air and liquid cooling solutions
  - Physical layout and racklevel 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

This role is not eligible for visa sponsorship.

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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.