Job description

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: AMD is committed to delivering an exceptional, end‑to‑end customer experience. Ease of use, clarity, and strong technical enablement are core to how our customers succeed with AMD technologies. As a Technical Marketing Engineer (TME) within the Software Product Management organization for AMD’s Data Center GPU Business Unit, you will play a critical role in shaping the customer journey— from early technical engagement and education through deployment, scaling, and optimization of AMD Instinct™powered data center GPU solutions. In this role, you will bridge deep technical expertise with clear, compelling communication. You will help customers, partners, and internal teams understand how to design, deploy, and operate AMD-powered GPU clusters & networks to unlock performance and value across HPC & AI solutions. Your work will enable customers to become productive quickly through high-quality documentation, training, and hands-on technical assets that reduce friction and accelerate adoption. THE PERSON: You are a technically deep, customer-facing engineer who enjoys turning complex system designs into clear, compelling stories. You are equally comfortable discussing GPU architecture, high-speed networking, power and cooling, and explaining those concepts in a way that enables sales teams, partners, and customers to confidently design and deploy large-scale AI datacenters. You thrive at the intersection of architecture, marketing, and enablement—bridging engineering detail with business impact. You have strong written and verbal communication skills, can distill dense reference designs into crisp technical briefs, and enjoy teaching others through structured training, presentations, and workshops. KEY RESPONSIBLITIES: • 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. • Deliver external technical training for OEMs, ODMs, CSPs, and end customers, tailoring content for varying levels of technical depth. • Build modular, reusable training content (slides, diagrams, labs, recordings) that can be scaled globally. • Cross-Functional Collaboration • Work closely with architecture, product management, and engineering teams to stay aligned with current and future reference designs and roadmap direction. • Provide structured feedback from the field to influence future reference architectures, documentation, and enablement priorities. • Ensure technical accuracy, consistency, and quality across all published customer-facing materials. PREFERRED EXPERIENCE: • 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 working with OEMs, ODMs, or cloud service providers 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. ACADEMIC CREDENTIALS BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required. MS or PhD is a plus. LOCATION Austin, TX This role is not eligible for visa sponsorship. #LI-SL2 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. 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.

Requirements

Must-haves

AMD is committed to delivering an exceptional, end‑to‑end customer experience. Ease of use, clarity, and strong technical enablement are core to how our customers succeed with AMD technologies.
You have strong written and verbal communication skills, can distill dense reference designs into crisp technical briefs, and enjoy teaching others through structured training, presentations, and workshops.
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.
Deliver external technical training for OEMs, ODMs, CSPs, and end customers, tailoring content for varying levels of technical depth.
Build modular, reusable training content (slides, diagrams, labs, recordings) that can be scaled globally.
Cross-Functional Collaboration • Work closely with architecture, product management, and engineering teams to stay aligned with current and future reference designs and roadmap direction.
Provide structured feedback from the field to influence future reference architectures, documentation, and enablement priorities.
Ensure technical accuracy, consistency, and quality across all published customer-facing materials.

Nice-to-haves

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 working with OEMs, ODMs, or cloud service providers 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.
BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required. MS or PhD is a plus.

Application prep

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Keywords to mirror

Platform: amd
Effort: medium