Staff AI Research 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. Welcome to the Llama team—where curiosity runs wild, and innovation is our natural habitat. We’re a tight-knit group of passionate builders, educators, and AI explorers at AMD, united by a shared mission: to push the boundaries of what’s possible with generative AI and make cutting-edge knowledge accessible to developers everywhere. THE ROLE: We are hiring a highly technical and creative AI Developer to join our advanced AI team at AMD. These roles are critical to scaling our AI education initiatives and accelerating innovation in generative AI. By building a team of autonomous contributors who can produce high-quality content and prototypes independently, we aim to scale our AI education efforts and reach a global developer audience. Ideal candidates are familiar with implementing the latest AI research, and skilled at translating complex ideas into simple, engaging formats that resonate with a broad developer audience. THE PERSON: Ideal candidates are familiar with implementing the latest AI research, and skilled at translating complex ideas into simple, engaging formats that resonate with a broad developer audience. Work on cutting-edge AI technologies with a team of world-class researchers and engineers. Influence the future of generative AI and developer education. Be part of a collaborative, mission-driven culture that values clarity, innovation, and impact. KEY RESPONSIBILITIES: Research, prototype, and implement cutting-edge techniques in generative AI, e.g. speculative decoding, reasoning post-training, the latest RL methods, etc. Translate advanced AI concepts into clear, engaging educational content, including course modules, technical explainers, and keynote-style presentations. Collaborate with AI engineers, researchers, and educators to ensure technical accuracy and pedagogical clarity. Track record of designing visually compelling, shareable content with a strong sense of storytelling to maximize reach and impact. Stay current with the latest research in LLMs, decoding strategies, and model efficiency, and contributing to internal knowledge sharing. PREFERRED EXPERIENCE: Advanced degree (MS or PhD preferred but not required) in Computer Science, Machine Learning, Applied Mathematics, or a related field. Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Demonstrated experience with LLMs/transformer architectures. Proven ability to simplify and communicate complex technical concepts through engaging content or presentations. Experience creating content (e.g. course materials, technical tutorials, or keynote talks) that prioritize clarity and simplicity. Strong visual and UX sensibility, with an eye for content that is both informative and shareable. Experience working in cross-functional teams, especially in fast-paced environments. Contributions to open-source projects, research publications, or internal technical blogs. Portfolio of engaging content (any format) to point to. ACADEMIC CREDENTIALS: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Master’s degree preferred; PhD is a strong plus, especially with publications in distributed systems, AI infrastructure, or GPU computing. Location: Santa Clara, CA #LI-TC1 #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.

Welcome to the Llama team—where curiosity runs wild, and innovation is our natural habitat. We’re a tight-knit group of passionate builders, educators, and AI explorers at AMD, united by a shared mission: to push the boundaries of what’s possible with generative AI and make cutting-edge knowledge accessible to developers everywhere. THE ROLE: We are hiring a highly technical and creative AI Developer to join our advanced AI team at AMD. These roles are critical to scaling our AI education initiatives and accelerating innovation in generative AI. By building a team of autonomous contributors who can produce high-quality content and prototypes independently, we aim to scale our AI education efforts and reach a global developer audience. Ideal candidates are familiar with implementing the latest AI research, and skilled at translating complex ideas into simple, engaging formats that resonate with a broad developer audience. THE PERSON: Ideal candidates are familiar with implementing the latest AI research, and skilled at translating complex ideas into simple, engaging formats that resonate with a broad developer audience. Work on cutting-edge AI technologies with a team of world-class researchers and engineers. Influence the future of generative AI and developer education. Be part of a collaborative, mission-driven culture that values clarity, innovation, and impact. KEY RESPONSIBILITIES: Research, prototype, and implement cutting-edge techniques in generative AI, e.g. speculative decoding, reasoning post-training, the latest RL methods, etc. Translate advanced AI concepts into clear, engaging educational content, including course modules, technical explainers, and keynote-style presentations. Collaborate with AI engineers, researchers, and educators to ensure technical accuracy and pedagogical clarity. Track record of designing visually compelling, shareable content with a strong sense of storytelling to maximize reach and impact. Stay current with the latest research in LLMs, decoding strategies, and model efficiency, and contributing to internal knowledge sharing. PREFERRED EXPERIENCE: Advanced degree (MS or PhD preferred but not required) in Computer Science, Machine Learning, Applied Mathematics, or a related field. Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Demonstrated experience with LLMs/transformer architectures. Proven ability to simplify and communicate complex technical concepts through engaging content or presentations. Experience creating content (e.g. course materials, technical tutorials, or keynote talks) that prioritize clarity and simplicity. Strong visual and UX sensibility, with an eye for content that is both informative and shareable. Experience working in cross-functional teams, especially in fast-paced environments. Contributions to open-source projects, research publications, or internal technical blogs. Portfolio of engaging content (any format) to point to. ACADEMIC CREDENTIALS: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Master’s degree preferred; PhD is a strong plus, especially with publications in distributed systems, AI infrastructure, or GPU computing. Location: Santa Clara, CA #LI-TC1 #LI-HYBRID