GPU Embedded AI/ML Technical Marketing Engineer

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’s Adaptive Embedded Compute Group (AECG) builds products that blend powerful, energy-efficient processors, advanced neural engines and graphics processors, and adaptive embedded compute with programable logic to build edge computing solutions. From autonomous vehicles and industrial robotics to smart healthcare devices, AMD AECG is redefining intelligent edge computing. THE PERSON: AMD’s AECG group is looking for a GPU Embedded AI/ML Technical Marketing Engineer who can drive end-to-end ROCm enablement for iGPUs on embedded x86 platforms. This role centers on planning, cross-functional alignment, and integrating multiple software components into cohesive, production-ready solutions for embedded markets. KEY RESPONSIBILITIES: Customer-Facing Content for Reference Applications Translate internal reference designs for AMD Embedded APUs into customer-ready technical training and reference designs Articulate system-level value propositions language that sales and partners can confidently use with Embedded AI customers Develop “what to say to customers” guidance, including embedded system deployment, architectural tradeoffs, and design best practices Sales and Field Enablement Partner closely with sales, FAEs, and solutions engineers to ensure consistent, accurate, and compelling messaging for AMD embedded x86 AI 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 Design and deliver high-impact technical training for internal audiences (sales and FAEs) covering AMD embedded x86 AI Solutions Deliver external technical training for ODMs 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 technical sales, application teams, 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 software stacks Ensure technical accuracy, consistency, and quality across all published customer-facing materials PREFERRED EXPERIENCE: Strong understanding of GPU architectures and GPU software stacks, including graphics, compute, and AI/ML workloads, across Linux and Windows environments Hands on experience with implementing AI/ML and high performance compute workloads for a variety of applications using GPUs Experience with virtualization and embedded systems is highly desirable Confidence in presenting complex technical material to technical sales and customers Strong cross-functional communication and dependency management skills with attention to detail Experience in software integration, program planning, or technical project coordination ACADEMIC QUALIFICATION: BS in Computer Science, Computer Engineering, or Electrical Engineering. MS or PhD is a plus #LI-LC1 #LI-HYBRID 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.

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.

THE ROLE: AMD’s Adaptive Embedded Compute Group (AECG) builds products that blend powerful, energy-efficient processors, advanced neural engines and graphics processors, and adaptive embedded compute with programable logic to build edge computing solutions. From autonomous vehicles and industrial robotics to smart healthcare devices, AMD AECG is redefining intelligent edge computing. THE PERSON: AMD’s AECG group is looking for a GPU Embedded AI/ML Technical Marketing Engineer who can drive end-to-end ROCm enablement for iGPUs on embedded x86 platforms. This role centers on planning, cross-functional alignment, and integrating multiple software components into cohesive, production-ready solutions for embedded markets. KEY RESPONSIBILITIES: Customer-Facing Content for Reference Applications Translate internal reference designs for AMD Embedded APUs into customer-ready technical training and reference designs Articulate system-level value propositions language that sales and partners can confidently use with Embedded AI customers Develop “what to say to customers” guidance, including embedded system deployment, architectural tradeoffs, and design best practices Sales and Field Enablement Partner closely with sales, FAEs, and solutions engineers to ensure consistent, accurate, and compelling messaging for AMD embedded x86 AI 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 Design and deliver high-impact technical training for internal audiences (sales and FAEs) covering AMD embedded x86 AI Solutions Deliver external technical training for ODMs 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 technical sales, application teams, 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 software stacks Ensure technical accuracy, consistency, and quality across all published customer-facing materials PREFERRED EXPERIENCE: Strong understanding of GPU architectures and GPU software stacks, including graphics, compute, and AI/ML workloads, across Linux and Windows environments Hands on experience with implementing AI/ML and high performance compute workloads for a variety of applications using GPUs Experience with virtualization and embedded systems is highly desirable Confidence in presenting complex technical material to technical sales and customers Strong cross-functional communication and dependency management skills with attention to detail Experience in software integration, program planning, or technical project coordination ACADEMIC QUALIFICATION: BS in Computer Science, Computer Engineering, or Electrical Engineering. MS or PhD is a plus #LI-LC1 #LI-HYBRID