Embedded AI/ML Software Technical Marketing Engineer TLNT1_NI

Company description WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom 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, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving 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 Job description THE ROLE: AMDs 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. This role supports AMDs embedded AI software strategy for x86 APUs, spanning ROCm and Ryzen AI Software. THE PERSON: AMDs AECG group is looking for an Embedded AI/ML Software Technical Marketing Engineer who can drive end-to-end software enablement for AMD embedded AI platforms. This role centers on planning, cross-functional alignment, and integrating ROCm and Ryzen AI 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 AI software 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 AI software solutions, including ROCm and Ryzen AI Software 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, software roadmaps, and platform direction for AMD embedded AI solutions 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 Required profile PREFERRED EXPERIENCE: Strong understanding of embedded APU AI software stacks, including ROCm and Ryzen AI Software, across Linux and Windows environments Hands-on experience implementing AI/ML and high-performance compute workloads on heterogeneous compute platforms Experience with embedded systems, AI software integration, and heterogeneous compute platforms 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 Skills: tech software software engineer

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