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AMD · 1 day ago

Principal Solutions Architect -GPU

San Jose, CA

Full-time

Onsite

Lead/Staff

$206K/yr - $309K/yr

AMD is a leader in building products that accelerate next-generation computing experiences, and they are seeking a Principal Solutions Architect to join their Datacenter GPU team. The role involves leading technical discovery for AI and HPC workloads, assessing current systems, shaping reference architectures, and collaborating with various teams to implement scalable datacenter solutions.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingComputerEmbedded SystemsGPUHardwareSemiconductor

Growth Opportunities

No H1B

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

Qualification

Datacenter infrastructureGPU architectureNetworking solutionsStorage solutionsTechnical documentationCustomer collaborationBachelor's degreeCommunication skills

Required

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

Bachelor's degree or higher in Computer Science, Electrical Engineering or closely related field