AI/HPC Data Center Rack Design Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom 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, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving 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

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.

THE PERSON

An experienced systems engineer with a strong background in HPC, AI infrastructure, and data center engineering. You bring deep technical knowledge of data center rack layout, compute and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms.

KEY RESPONSIBILITIES

• Rack & Cluster Design
• 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
• Network
• 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
• Power
• 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
• Storage
• 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.
• Collaboration
• 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.

PREFERRED EXPERIENCE

• 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

ACADEMIC CREDENTIALS

• Bachelors or Masters degree in Electrical Engineering, Computer Engineering, Computer Science, or related field or equivalent work experience

#LI-KW1

This role is not eligible for Visa sponsorship.

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. AMDs Responsible AI Policy is available here.

This posting is for an existing vacancy.