Responsibilities

• Customer-Facing Content for Reference Architectures
• Translate internal reference designs for AMD Instinct™ GPU clusters into clear, customer-ready technical briefs, reference architectures, and deployment guides.
• Articulate system-level value propositions—including performance, scalability, networking, power, cooling, and TCO—in language that sales and partners can confidently use with AI data center customers.
• Develop “what to say to customers” guidance, including common deployment scenarios, sizing recommendations, architectural tradeoffs, and design best practices.
• Sales & Field Enablement
• Partner closely with sales, FAEs, and solutions engineers to ensure consistent, accurate, and compelling messaging for AMD data center GPU cluster solutions.
• Create and maintain enablement assets such as pitch decks, whitepapers, FAQs, competitive positioning, and architectural overviews.
• Support strategic customer and partner engagements by providing deep technical context and architectural guidance when needed.
• Technical Training & Education
• Design and deliver high-impact technical training for internal audiences (sales, FAEs, solutions engineers) covering GPU clusters, networking fabrics, power, cooling, and data center-scale deployment considerations.

Requirements

• Experience in technical marketing, systems engineering, solutions architecture, or a related role focused on datacenter infrastructure or AI platforms.
• Strong understanding of GPU-based AI clusters, including scale-up and scale-out architectures.
• Hands-on knowledge of datacenter networking including400G/800G Ethernet, RoCE, leaf-spine topologies, rail vs. fat-tree designs.
• Familiarity with power delivery and cooling for high-density racks, including air cooling, liquid cooling, and rack-level power design.
• Demonstrated ability to translate complex technical content into clear, sales-ready documentation and presentations.
• Confidence presenting complex technical material in customer-facing settings within a fast-paced, large-scale organization.
• Excellent written communication, presentation, and technical storytelling skills with strong attention to accuracy and detail.
• Experience with modern documentation and publishing workflows including Markdown, Read the Docs, and Jupyter Notebooks.
• Proficiency with standard productivity and publishing tools used for technical documentation and training delivery.
• BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required. MS or PhD is a plus.

Preferred

• Experience working with OEMs, ODMs, or cloud service providers is a plus.
• MS or PhD is a plus.
• Experience with modern documentation and publishing workflows including Markdown, Read the Docs, and Jupyter Notebooks.
• Proficiency with standard productivity and publishing tools used for technical documentation and training delivery.

Benefits

• Benefits offered are described: AMD benefits at a glance.