Data Center Memory & Storage Architect for AI

AMD; Austin (TX); Hybrid; USD 170,000 - 250,000; Full time

Benefits offered by this job

Remote work eligible

Job summary

AMD is hiring an experienced systems architect to define memory, storage, and data infrastructure strategies within the Datacenter Solutions Group (DSG). You will collaborate across hardware and software teams from node to rack, shaping AI training/inference platforms and cloud-native computing.

The role requires translating workloads into scalable architectures, driving proof-of-concept studies, and presenting roadmaps to customers and partners.

Qualifications

• Experience as lead architect/engineer for Enterprise level storage platforms/sub-systems for markets such as Cloud, AI, Storage, HPC, Edge or Embedded compute platforms.
• Deep understanding of computer architectures based on CPUs, x86 experience highly desired.
• Experience developing platforms with high-speed digital design and interconnects; understanding engineering tradeoffs.

Responsibilities

• Set and drive future vision and technical requirements for memory, storage, and data infrastructure within the DSG.
• Collaborate with hardware and software teams from node level to rack level design, AI training, inference, and cloud-native computing.
• Provide a unified platform/system level vision to influence AMD’s SoC roadmap.
• Drive workload and application-level strategies with industry partners and ecosystem.
• Represent and promote AMD’s datacenter system-level vision at industry events and partnerships.

Skills

Concept translation

Proof-of-concept execution

Communication skills

Public speaking

Analytical decision making

Stakeholder collaboration

Strategic guidance

System architecture

HW/SW integration

Education

BS/MS in Electrical or Computer Engineering

Tools

CPU architectures (x86)

High-speed interconnects

Hardware-software integration

Job description

AMD is hiring an experienced systems architect to define memory, storage, and data infrastructure strategies within the Datacenter Solutions Group (DSG). You will collaborate across hardware and software teams from node to rack, shaping AI training/inference platforms and cloud-native computing.

The role requires translating workloads into scalable architectures, driving proof-of-concept studies, and presenting roadmaps to customers and partners.