Overview
On Site
USD 137,410.00 per year
Full Time
Skills
Data Centers
Embedded Systems
Innovation
Management
High Performance Computing
SAN
Network Design
Budget
EMEA
Storage Architecture
Storage
Ceph
Collaboration
Computer Hardware
Network
Data Center Design
HPC
Artificial Intelligence
Systems Engineering
Thermal Management
Distribution
Computer Science
Computer Engineering
Electrical Engineering
Military
Law
Recruiting
Job Details
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from 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, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving 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:
AMD's Global Cluster Engineering group is seeking a highly skilled and motivated Rack Design Engineer to design detailed rack layouts for high-performance computing clusters optimized for AI workloads using AMD Instinct GPUs and Epyc CPUs. This role will be responsible for creating design documents, customer collateral, and other reference documents.
KEY RESPONSIBILITIES:
Rack & Cluster Design
Network
Power
Storage
Collaboration
PREFERRED EXPERIENCE:
ACADEMIC CREDENTIALS:
#Ll-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.
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from 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, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving 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:
AMD's Global Cluster Engineering group is seeking a highly skilled and motivated Rack Design Engineer to design detailed rack layouts for high-performance computing clusters optimized for AI workloads using AMD Instinct GPUs and Epyc CPUs. This role will be responsible for creating design documents, customer collateral, and other reference documents.
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 rack and/or data center design, HPC, AI infrastructure, or data center systems engineering
- Experience with liquid cooling or advanced thermal management
- Experience with rack level power distribution
ACADEMIC CREDENTIALS:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
#Ll-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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.