Principal Solutions Architect -GPU

Advanced Micro Devices, Inc • San Jose, CA

4h • Hybrid

About The Position

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: 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.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees