Datacenter AI & Server Product Architect

Advanced Micro Devices; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

AMD benefits

Job summary

AMD is seeking a Server and AI Product Architect to join our Datacenter System Architecture & Engineering team to define EPYC and Enterprise AI/HPC GPU product architectures for scalable datacenters.

You will collaborate with customers, internal architects, and software teams to map use cases across Si, HW/SW, and platform components, delivering end-to-end architectures that balance performance, power, and cost while enabling a differentiated customer experience.

Qualifications

• Strong analytical/problem‑solving skills with attention to detail.
• Self-starter who can drive tasks to completion.
• Experience in Server and GPU product architecture including memory, I/O, power delivery, firmware and hardware management.
• Understanding of DDR, PCIe, SATA, and other high‑speed IO protocols.
• Proven engineering problem solving and delivering innovative products.
• Ability to collaborate across geographies and disciplines.

Responsibilities

• Define server and Enterprise AI/HPC GPU product architecture using AMD platforms.
• Collaborate with customers and internal teams to define requirements for performance, power, cost.
• Research and develop next generation datacenter compute designs to improve performance.
• Contribute to product and system architecture and technology execution.
• Understand memory, I/O, signal integrity, power delivery, thermal, packaging, and firmware aspects.
• Engage with partners to engineer outstanding products.

Skills

Strong analytical skills

Self-starter

Server and GPU product expertise

Cross-functional collaboration

Education

Bachelor's or Master's in Electrical or Computer Engineering

Job description

AMD is seeking a Server and AI Product Architect to join our Datacenter System Architecture & Engineering team to define EPYC and Enterprise AI/HPC GPU product architectures for scalable datacenters.

You will collaborate with customers, internal architects, and software teams to map use cases across Si, HW/SW, and platform components, delivering end-to-end architectures that balance performance, power, and cost while enabling a differentiated customer experience.