AI Cluster Architect

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:  We are looking for a dynamic, energetic Lead/Principal HPC Cluster Network Architect to join our growing team. As a key contributor to the success of AMD’s product, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry-leading technologies to market. AMD's Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.    THE PERSON:  The Cluster Network Architect plays a critical role in shaping the future of AI/ML training and inferencing systems as they move into the Ethernet era. This individual will collaborate with a broad range of internal and external partners, including NIC, Switch, and Software Enablement teams, to integrate state-of-the-art technology solutions that pave the way for ethernet to be used as a viable network technology for the GPU-to-GPU communication required during AI inferencing and training.    KEY RESPONSIBILITIES:  Designing state of the art cluster network architectures for large AI/ML training and inferencing systems which can be optimized for hyperscale capabilities Engage with AMD customer base while aligning system and networking architecture Standardize ethernet network architectures and best practices for GPU-to-GPU communication for deep learning and AI workloads using Infiniband and Ethernet technologies Co-design new Ethernet technology with AMD partner companies to build the next generation of AI cluster networks Pioneering system and container networking strategies to facilitate seamless operation and scaling of AI clusters Developing scalable AI/ML training and inferencing communication network reference architectures for each generation of AMD AI/ML products Serve as chief network engineer on projects supporting Partner OEM co-design of AI/ML clusters Participate in design phase of each AMD AI/ML GPU generation by developing cluster communication network architectures and requirements Collaborate across AMD internal and external partner teams to improve communication performance for AMD AI/ML clusters   PREFERRED EXPERIENCE:  In-depth knowledge and experience with network topologies such as Rail and Fat Tree, and technologies including Infiniband, RDMA, RoCE, NVLINK, and PCIe Expertise in network security, automation, and visualization, along with a solid understanding of OSI network models and TCP/IP suites Professional certifications such as Cisco CCNA, CCNP, CCIE, CompTIA Network+, and Arista ACE are highly regarded Extensive real world experience designing hyperscale ethernet networks Expert in the TCP/IP protocol and it’s application Strong analytical/problem-solving skills and pronounced attention to details Must be a self-starter, and able to independently drive tasks to completion   ACADEMIC CREDENTIALS:  Master’s or PhD degree preferred in Mathematics, Statistics, Electrical Engineering, Computer Engineering, or a related computational field; equivalent experience also considered. Location: The role could be Hybrid or Remote #LI-TL1 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.

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.

THE ROLE:  We are looking for a dynamic, energetic Lead/Principal HPC Cluster Network Architect to join our growing team. As a key contributor to the success of AMD’s product, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry-leading technologies to market. AMD's Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.    THE PERSON:  The Cluster Network Architect plays a critical role in shaping the future of AI/ML training and inferencing systems as they move into the Ethernet era. This individual will collaborate with a broad range of internal and external partners, including NIC, Switch, and Software Enablement teams, to integrate state-of-the-art technology solutions that pave the way for ethernet to be used as a viable network technology for the GPU-to-GPU communication required during AI inferencing and training.    KEY RESPONSIBILITIES:  Designing state of the art cluster network architectures for large AI/ML training and inferencing systems which can be optimized for hyperscale capabilities Engage with AMD customer base while aligning system and networking architecture Standardize ethernet network architectures and best practices for GPU-to-GPU communication for deep learning and AI workloads using Infiniband and Ethernet technologies Co-design new Ethernet technology with AMD partner companies to build the next generation of AI cluster networks Pioneering system and container networking strategies to facilitate seamless operation and scaling of AI clusters Developing scalable AI/ML training and inferencing communication network reference architectures for each generation of AMD AI/ML products Serve as chief network engineer on projects supporting Partner OEM co-design of AI/ML clusters Participate in design phase of each AMD AI/ML GPU generation by developing cluster communication network architectures and requirements Collaborate across AMD internal and external partner teams to improve communication performance for AMD AI/ML clusters   PREFERRED EXPERIENCE:  In-depth knowledge and experience with network topologies such as Rail and Fat Tree, and technologies including Infiniband, RDMA, RoCE, NVLINK, and PCIe Expertise in network security, automation, and visualization, along with a solid understanding of OSI network models and TCP/IP suites Professional certifications such as Cisco CCNA, CCNP, CCIE, CompTIA Network+, and Arista ACE are highly regarded Extensive real world experience designing hyperscale ethernet networks Expert in the TCP/IP protocol and it’s application Strong analytical/problem-solving skills and pronounced attention to details Must be a self-starter, and able to independently drive tasks to completion   ACADEMIC CREDENTIALS:  Master’s or PhD degree preferred in Mathematics, Statistics, Electrical Engineering, Computer Engineering, or a related computational field; equivalent experience also considered. Location: The role could be Hybrid or Remote #LI-TL1