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AMD

Designs chips for computers and AI systems

Technical Marketing Engineer - Datacenter GPU Clusters & Networking

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Experience in technical marketing, systems engineering, solutions architecture, or a related role focused on datacenter infrastructure or AI platforms is preferred.
  • Strong understanding of GPU-based AI clusters, including scale-up and scale-out architectures is preferred.
  • Hands-on knowledge of datacenter networking, including 400G/800G Ethernet, RoCE, leaf-spine topologies, and rail versus fat-tree designs is preferred.
  • Familiarity with power delivery and cooling for high-density racks, including air cooling, liquid cooling, and rack-level power design is preferred.
  • Ability to translate complex technical content into clear, sales-ready documentation and presentations is preferred.
  • Confidence presenting complex technical material in customer-facing settings within a fast-paced, large-scale organization is preferred.
  • 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 is preferred.
  • Proficiency with standard productivity and publishing tools used for technical documentation and training delivery is preferred.
  • A Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field is required.
  • A Master of Science or PhD is a plus.

Responsibilities

  • Translate internal reference designs for AMD Instinct GPU clusters into customer-ready technical briefs, reference architectures, and deployment guides.
  • Articulate system-level value propositions—including performance, scalability, networking, power, cooling, and total cost of ownership—in language sales teams and partners can use with AI data center customers.
  • Develop customer guidance covering common deployment scenarios, sizing recommendations, architectural tradeoffs, and design best practices.
  • Partner with sales, field application engineers, 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 technical context and architectural guidance when needed.
  • Design and deliver technical training for internal audiences covering GPU clusters, networking fabrics, power, cooling, and data center-scale deployment considerations.
  • Deliver external technical training for OEMs, ODMs, cloud service providers, and end customers, tailoring content for varying levels of technical depth.
  • Build modular, reusable training content, including slides, diagrams, labs, and recordings, that can be scaled globally.
  • Work 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 published customer-facing materials.

Desired Qualifications

  • Excellent written communication, presentation, and technical storytelling skills with strong attention to accuracy and detail.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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