Artificial Intelligence Architect at AMD

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Artificial Intelligence Architect THE ROLE: We're looking for a highly motivated candidate with an interdisciplinary background, like computer science or electrical engineering, combined with mathematics or data science. As part of our team, you'll be responsible for analyzing AI models and explore different ways to run them more efficiently on our NPUs. This includes a very broad range of options, from enhancing the AI model itself, to optimizing its implementation in the software stack, runtime or kernels to for example mapping/tiling methods and changing datatypes. The ideal candidate should also possess good communication skills to collaborate with various teams. We value curiosity and innovation, and we're committed to providing a challenging and supportive environment where you can learn and grow. As you collaborate with your peers, you'll have the opportunity to make a real impact and contribute to our organization's success. We're looking for someone who's passionate about improving their skills and constantly seeking new ways to drive performance and efficiency. KEY RESPONSIBILITIES: Explore ways to improve the efficiency of AI models running on NPUs Stay up to date with emerging technologies and trends in the AI field Collaborate closely with other architects, software, kernel and compiler teams as well as data scientist. Develop, test and debug appropriate models (e.g. in Python) or kernels (e.g. in C++) to analyze and validate architecture ideas PREFERRED EXPERIENCE: Computer science or electrical engineering background, ideally combined with mathematics Knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts and techniques, including deep learning, reinforcement learning, natural language processing, generative AI, and computer vision, as well as practical experience applying these concepts to solve real-world problems through research or work experience Expertise on AI model architecture, like transformers. Some experience in ML frameworks such as PyTorch, JAX or TensorFlow. Experience in developing and debugging in Python or C++ Inquiring mind, excellent problem-solving skills Strong communication skills to articulate findings to both engineering and leadership. Collaborative and strong team player ACADEMIC CREDENTIALS: A PhD degree or equivalent in mathematics, machine learning, computer science, electrical engineering or a related field. #LI-RF1 At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.