AI/ML Solutions Architect

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 and Embedded Computing Group is expanding rapidly, aiming to be the leading silicon and solutions provider across the various embedded market segments, from Edge to Cloud. With a world‑class portfolio spanning CPUs, APUs, GPUs, and FPGAs, we enable Tier‑1 Networking and Storage, Automotive, Robotics, Industrial, Aerospace/Defense customers to build differentiated, high‑performance platforms. This highly visible role directly impacts customer success and the overall growth of AMD’s embedded business. You will influence next‑generation product roadmap, guide customer technical execution, and develop innovative system architecture and solutions especially in AI/ML and performance optimization. THE PERSON: This position blends system, SoC/GPU/computer architecture, software, AI/ML and performance analysis expertise, technical leadership with external customer‑facing technical ownership. Internally, you will help research on AI/ML use cases focusing on edge and embedded market segments. You will develop reference architecture and solutions that are based on AMD SoCs which integrate CPU and GPU/NPU. You will define the benchmarks and performance metrics for targeting these AMD based solutions for edge and embedded market segments, and will benchmark, analyze and optimize the results. Externally, you will lead deep technical engagements with customers—becoming the trusted technical advisor for deploying AI/ML into their applications, shaping architectures, and driving solutions that deliver maximum performance and value. Success in this role requires the ability to connect concepts across domains, architect complex features, and guide both AMD teams and customers toward optimal solutions. KEY RESPONSIBILITIES: Research, define, and drive AMD CPU/GPU/NPU based AI/ML solutions targeting one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense. Develop high performance and efficient Edge AI solutions. Benchmark, analyze and optimize performance results using standard AI frameworks, open ML models and custom models. Serve as an AI and performance expert and/or solutions architect for strategic customer engagements. Perform gap analysis and lead solutions architecting for pre–design‑win engagements to influence and secure wins. Translate customer needs into actionable technical requirements across domains and components. Provide hands‑on leadership throughout execution of customer development programs, solving complex technical problems and ensuring cross‑domain alignment. Ensure customer designs make optimal architectural choices to achieve best‑possible performance on AMD platforms. Build PoCs, demos, and use‑case optimizations; collaborate with ecosystem partners to deliver complete solutions. Define and develop reference designs to showcase solution value. Stay current on industry trends especially on AI/ML topics and feed insights into AMD’s roadmap planning. Create technical papers, reference solutions, and application notes for internal, NDA, or public audiences. Present at key technical events and represent AMD’s solution leadership. PREFERRED EXPERIENCE: Strong understanding of x86 architecture and GPU architecture. Strong expertise in AI/ML, the various frameworks (e.g. ONNX-RT, PyTorch, Tensorflow ), whole software stacks, various open ML models (e.g. Llama, Qwen), optimized inferencing using CPU, GPU and accelerators Background in technologies, technical standards, and system architectures of embedded applications and use cases for one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense. Hands‑on development experience with CPUs/GPUs/FPGAs, middleware, system‑level drivers (BSP, HAL, kernel), firmware/BIOS. Deep knowledge of Linux OS and systems programming. Experience with virtualization and hypervisors. Strong C/C++ development and scripting skills (Python). Broad system‑level experience spanning processors, platforms, BIOS, firmware, AI/ML, applications and frameworks like DPDK, SPDK. AI/Deep Learning experience is mandatory. Ability to connect cross‑domain technical dots and maintain a strong systems viewpoint. Customer‑facing experience with a record of enabling successful product development. Strong communication, collaboration, and influence skills. High sense of ownership, urgency, and willingness to roll up sleeves to drive results. ACADEMIC CREDENTIALS: Engineering degree in EE or CS. LOCATION: Austin, TX San Jose, CA Other locations considered for exceptional candidates. #LI-DW1 #LI-HYBRID This role is not eligible for visa sponsorship. 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 and Embedded Computing Group is expanding rapidly, aiming to be the leading silicon and solutions provider across the various embedded market segments, from Edge to Cloud. With a world‑class portfolio spanning CPUs, APUs, GPUs, and FPGAs, we enable Tier‑1 Networking and Storage, Automotive, Robotics, Industrial, Aerospace/Defense customers to build differentiated, high‑performance platforms. This highly visible role directly impacts customer success and the overall growth of AMD’s embedded business. You will influence next‑generation product roadmap, guide customer technical execution, and develop innovative system architecture and solutions especially in AI/ML and performance optimization. THE PERSON: This position blends system, SoC/GPU/computer architecture, software, AI/ML and performance analysis expertise, technical leadership with external customer‑facing technical ownership. Internally, you will help research on AI/ML use cases focusing on edge and embedded market segments. You will develop reference architecture and solutions that are based on AMD SoCs which integrate CPU and GPU/NPU. You will define the benchmarks and performance metrics for targeting these AMD based solutions for edge and embedded market segments, and will benchmark, analyze and optimize the results. Externally, you will lead deep technical engagements with customers—becoming the trusted technical advisor for deploying AI/ML into their applications, shaping architectures, and driving solutions that deliver maximum performance and value. Success in this role requires the ability to connect concepts across domains, architect complex features, and guide both AMD teams and customers toward optimal solutions. KEY RESPONSIBILITIES: Research, define, and drive AMD CPU/GPU/NPU based AI/ML solutions targeting one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense. Develop high performance and efficient Edge AI solutions. Benchmark, analyze and optimize performance results using standard AI frameworks, open ML models and custom models. Serve as an AI and performance expert and/or solutions architect for strategic customer engagements. Perform gap analysis and lead solutions architecting for pre–design‑win engagements to influence and secure wins. Translate customer needs into actionable technical requirements across domains and components. Provide hands‑on leadership throughout execution of customer development programs, solving complex technical problems and ensuring cross‑domain alignment. Ensure customer designs make optimal architectural choices to achieve best‑possible performance on AMD platforms. Build PoCs, demos, and use‑case optimizations; collaborate with ecosystem partners to deliver complete solutions. Define and develop reference designs to showcase solution value. Stay current on industry trends especially on AI/ML topics and feed insights into AMD’s roadmap planning. Create technical papers, reference solutions, and application notes for internal, NDA, or public audiences. Present at key technical events and represent AMD’s solution leadership. PREFERRED EXPERIENCE: Strong understanding of x86 architecture and GPU architecture. Strong expertise in AI/ML, the various frameworks (e.g. ONNX-RT, PyTorch, Tensorflow ), whole software stacks, various open ML models (e.g. Llama, Qwen), optimized inferencing using CPU, GPU and accelerators Background in technologies, technical standards, and system architectures of embedded applications and use cases for one or more of the following market segments: Networking, Security, Storage, Automotive, Robotics, Industrial, Aerospace/Defense. Hands‑on development experience with CPUs/GPUs/FPGAs, middleware, system‑level drivers (BSP, HAL, kernel), firmware/BIOS. Deep knowledge of Linux OS and systems programming. Experience with virtualization and hypervisors. Strong C/C++ development and scripting skills (Python). Broad system‑level experience spanning processors, platforms, BIOS, firmware, AI/ML, applications and frameworks like DPDK, SPDK. AI/Deep Learning experience is mandatory. Ability to connect cross‑domain technical dots and maintain a strong systems viewpoint. Customer‑facing experience with a record of enabling successful product development. Strong communication, collaboration, and influence skills. High sense of ownership, urgency, and willingness to roll up sleeves to drive results. ACADEMIC CREDENTIALS: Engineering degree in EE or CS. LOCATION: Austin, TX San Jose, CA Other locations considered for exceptional candidates. #LI-DW1 #LI-HYBRID This role is not eligible for visa sponsorship.