AMD
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The Role The AMD Datacenter GPU team is seeking an experienced Principal Solutions Architect to join our team focused on enabling large clusters for AI & HPC workloads.
The Person The candidate will be a technical expert in datacenter infrastructure with deep knowledge of datacenter design, strong knowledge of compute (CPUs/GPUs), networking, and storage solutions, and experience partnering with customers to support RFP development. This role offers the opportunity to work at the cutting edge of AI & HPC infrastructure, solving complex technical challenges and helping customers implement transformative datacenter solutions at scale.
Key Responsibilities
Lead customer technical discovery with data/ML, platform, and infrastructure stakeholders; map business goals to AI & HPC workloads and success metrics.
Assess current system state (GPUs/accelerators, storage, fabric, security) and identify gaps, risks, and define required POCs.
Shape reference architectures for large AI & HPC clusters (rack design, GPU topology, RoCE/InfiniBand, NVMe/parallel FS) aligned to customer constraints (power, cooling, space).
Create high‑level design.
Partner with the business development and product teams to build ROI/TCO models. (CapEx/OpEx, $/token, $/inference) and craft the value story.
Support draft of technical sections of RFIs/RFPs; produce architecture diagrams, deployment plans, and implementation timelines.
Partner with program & engineering teams to define POC success criteria, test plans, and exit reports.
Collaborate with product management to foster product roadmap improvements.
Network design for high‑throughput GPU clusters (scale‑up / scale‑out / OOB), cabling.
Storage architectures optimized for AI data pipelines.
Datacenter layout strategies / power / cooling.
Rack power delivery / mechanicals.
Required Experience
Deep hands‑on experience designing and implementing large‑scale GPU based infrastructure solutions, including datacenter network and storage architectures.
Proven track record of creating technical documentation and reference architectures.
Excellent communication skills with the ability to explain complex technical concepts.
Experience working directly with customer technical teams.
Academic Credentials
Bachelor’s degree or higher in Computer Science, Electrical Engineering or closely related field.
Location
San Jose, CA
This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance.
Equal Employment Opportunity 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.
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The Role The AMD Datacenter GPU team is seeking an experienced Principal Solutions Architect to join our team focused on enabling large clusters for AI & HPC workloads.
The Person The candidate will be a technical expert in datacenter infrastructure with deep knowledge of datacenter design, strong knowledge of compute (CPUs/GPUs), networking, and storage solutions, and experience partnering with customers to support RFP development. This role offers the opportunity to work at the cutting edge of AI & HPC infrastructure, solving complex technical challenges and helping customers implement transformative datacenter solutions at scale.
Key Responsibilities
Lead customer technical discovery with data/ML, platform, and infrastructure stakeholders; map business goals to AI & HPC workloads and success metrics.
Assess current system state (GPUs/accelerators, storage, fabric, security) and identify gaps, risks, and define required POCs.
Shape reference architectures for large AI & HPC clusters (rack design, GPU topology, RoCE/InfiniBand, NVMe/parallel FS) aligned to customer constraints (power, cooling, space).
Create high‑level design.
Partner with the business development and product teams to build ROI/TCO models. (CapEx/OpEx, $/token, $/inference) and craft the value story.
Support draft of technical sections of RFIs/RFPs; produce architecture diagrams, deployment plans, and implementation timelines.
Partner with program & engineering teams to define POC success criteria, test plans, and exit reports.
Collaborate with product management to foster product roadmap improvements.
Network design for high‑throughput GPU clusters (scale‑up / scale‑out / OOB), cabling.
Storage architectures optimized for AI data pipelines.
Datacenter layout strategies / power / cooling.
Rack power delivery / mechanicals.
Required Experience
Deep hands‑on experience designing and implementing large‑scale GPU based infrastructure solutions, including datacenter network and storage architectures.
Proven track record of creating technical documentation and reference architectures.
Excellent communication skills with the ability to explain complex technical concepts.
Experience working directly with customer technical teams.
Academic Credentials
Bachelor’s degree or higher in Computer Science, Electrical Engineering or closely related field.
Location
San Jose, CA
This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance.
Equal Employment Opportunity 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.
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