WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. **Together, we 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 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.
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 or Master’s degree in related discipline preferred.
This role is not eligible for visa sponsorship.
#LI-EV1
**#LI-HYBRID **
_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.
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This posting is for an existing vacancy.