AI/HPC Data Center Rack Design Engr

Advanced Micro Devices, Inc•Austin, TX

About The Position

We are seeking a highly skilled systems engineer to design data center rack layouts for AI/HPC clusters. This role involves evaluating and selecting rack-level compute, storage, networking, power delivery, and cooling solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads.

Requirements

An experienced systems engineer with a strong background in HPC, AI infrastructure, and data center engineering.
Deep technical knowledge of data center rack layout, compute and networking components.
A strategic mindset for system-level design.
Ability to collaborate across diverse technical domains.
Thrive in fast-paced environments.
Passionate about building efficient, scalable, and reliable compute platforms.
Bachelor’s or Master’s degree in Electrical Eng

Nice To Haves

Extensive experience in HPC, AI infrastructure, or data center systems engineering
Experience with liquid cooling or advanced thermal management
Experience with rack level power distribution
Contributions to open-source HPC or AI infrastructure projects

Responsibilities

Design scalable AI/HPC data center rack layouts including compute, storage, networking, power delivery and cooling
Translate high level requirements and architecture input into detailed rack designs
Design leading-edge thermal and power delivery for high-density deployments
Design intra-rack and rack-to-rack network connections to maximize overall cluster performance
Translate network architecture requirements and input into rack-level designs
Understand the network performance needs of different types of workloads
Understand advantages and performance trade-offs of network topologies for AI/HPC clusters
Design rack-level and data center power delivery infrastructure
Define power budgets, redundancy schemes, and fault tolerance mechanisms
Understand differences in power delivery and regulatory requirements in global locations, e.g. U.S., EMEA, Asia and other countries
Translate storage architecture requirements and input into rack-level designs
Design and optimize storage solutions to maximize AI/HPC cluster performance
Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc.
Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure.