AI/HPC Cluster Design Engineer

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

 

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

THE ROLE

We are seeking an experienced AI systems engineer to design scalable AI/HPC clusters with specific focus on compliance with customer and/or design requirements. This role involves reviewing and selecting compute, storage, networking, and power delivery components and 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 systems, and cluster engineering. You bring deep technical knowledge of compute, power, 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:

 

System Architecture & Design

• Design scalable AI/HPC clusters including compute, storage, and networking
• Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance.

 

Network

• Design network topologies to maximize overall cluster performance
• Understand the network performance needs of different types of workloads
• Understand advantages and performance trade-offs of network topologies for AI/HPC clusters

 

Storage

• 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.
• Experience in HPC, AI systems/clusters, or data center engineering.
• Strong understanding of rack and cluster design
• Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking.
• Familiarity with AI/ML frameworks and workload characteristics.
• Excellent problem-solving, communication, and documentation skills.

 

Preferred Qualifications:

 

• Experience in HPC, AI infrastructure, or data center systems engineering.
• Experience designing power delivery solutions for racks and data centers
• Contributions to open-source HPC or AI infrastructure projects.

Academic Credentials

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or related field.

 This role is not eligible for Visa Sponsorship

#LI-KW1

 

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.

 

This posting is for an existing vacancy.

THE ROLE

We are seeking an experienced AI systems engineer to design scalable AI/HPC clusters with specific focus on compliance with customer and/or design requirements. This role involves reviewing and selecting compute, storage, networking, and power delivery components and 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 systems, and cluster engineering. You bring deep technical knowledge of compute, power, 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:

 

System Architecture & Design

• Design scalable AI/HPC clusters including compute, storage, and networking
• Evaluate and select CPUs, GPUs, accelerators, interconnects, and memory configurations for optimal cluster performance.

 

Network

• Design network topologies to maximize overall cluster performance
• Understand the network performance needs of different types of workloads
• Understand advantages and performance trade-offs of network topologies for AI/HPC clusters

 

Storage

• 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.
• Experience in HPC, AI systems/clusters, or data center engineering.
• Strong understanding of rack and cluster design
• Knowledge of GPU/CPU architectures, PCIe, UALink, InfiniBand, and Ethernet networking.
• Familiarity with AI/ML frameworks and workload characteristics.
• Excellent problem-solving, communication, and documentation skills.

 

Preferred Qualifications:

 

• Experience in HPC, AI infrastructure, or data center systems engineering.
• Experience designing power delivery solutions for racks and data centers
• Contributions to open-source HPC or AI infrastructure projects.

Academic Credentials

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or related field.

 This role is not eligible for Visa Sponsorship

#LI-KW1

 

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.

 

This posting is for an existing vacancy.