Applied ML researcher, Generative AI - Advanced Graphics Programs

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 PERSON: We are seeking an outstanding Applied ML researcher, Generative AI - Advanced Graphics Programs who embodies technical brilliance, innovative thinking in the field of generative AI and real-time graphics technologies. The ideal candidate will be a passionate, highly skilled researcher with a strong understanding of machine learning frameworks, transformers, and neural graphics, coupled with strong programming expertise in C++, Python, and GPU-related technologies. This individual must demonstrate the ability to work on cutting-edge research, translate academic insights into practical applications, and contribute to technological innovation at the intersection of generative AI, gaming experiences, and computational graphics. THE ROLE: In this role, you'll contribute towards inventing and building disruptive technologies for various current and future PC gaming experiences with real-time immersive rendering, generative AI techniques (Diffusion/Transformer) and large language model, which would also need to influence in accelerating data center workloads. KEY RESPONSIBILITIES: Work with a team of applied researchers to invent and path find new GenAI based technologies in real time neural graphics and other ML accelerated opportunities including data center workloads. Perform STOA research; Implement POCs to demonstrate these disruptive technologies keeping a keen eye on low level HW and SW optimizations. Create comprehensive datasets to test POCs for quality and performance Contribute to writing software architecture specs to deliver to ISV/Dev tech teams to aid deployment to product. Contribute towards AMD's IP portfolio by publishing novel research in top conferences. PREFERRED EXPERIENCE: Experience developing ML models in popular frameworks ( PyTorch, Tensorflow etc.,) Ability to reproduce STOA and iterate on it to fit the application under consideration. Through understanding of attention modules, diffusion transformers and vision transformers. Excellent C/C++/Scripting (Python, etc.) skills. Excellent analytical and problem-solving skills along with attention to details. Knowledge of Graphics/Compute APIs (DX/OpenGL/Vulkan/OpenCL etc.) Knowledge of GPU architecture is a plus. ACADEMIC CREDENTIALS: Bachelor or Master of Science degree with emphasis in Computer Science, Computer architecture, or Electrical Engineering with relevant experience preferred. This role is not eligible for Visa sponsorship. #LI-BM1 #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 PERSON: We are seeking an outstanding Applied ML researcher, Generative AI - Advanced Graphics Programs who embodies technical brilliance, innovative thinking in the field of generative AI and real-time graphics technologies. The ideal candidate will be a passionate, highly skilled researcher with a strong understanding of machine learning frameworks, transformers, and neural graphics, coupled with strong programming expertise in C++, Python, and GPU-related technologies. This individual must demonstrate the ability to work on cutting-edge research, translate academic insights into practical applications, and contribute to technological innovation at the intersection of generative AI, gaming experiences, and computational graphics. THE ROLE: In this role, you'll contribute towards inventing and building disruptive technologies for various current and future PC gaming experiences with real-time immersive rendering, generative AI techniques (Diffusion/Transformer) and large language model, which would also need to influence in accelerating data center workloads. KEY RESPONSIBILITIES: Work with a team of applied researchers to invent and path find new GenAI based technologies in real time neural graphics and other ML accelerated opportunities including data center workloads. Perform STOA research; Implement POCs to demonstrate these disruptive technologies keeping a keen eye on low level HW and SW optimizations. Create comprehensive datasets to test POCs for quality and performance Contribute to writing software architecture specs to deliver to ISV/Dev tech teams to aid deployment to product. Contribute towards AMD's IP portfolio by publishing novel research in top conferences. PREFERRED EXPERIENCE: Experience developing ML models in popular frameworks ( PyTorch, Tensorflow etc.,) Ability to reproduce STOA and iterate on it to fit the application under consideration. Through understanding of attention modules, diffusion transformers and vision transformers. Excellent C/C++/Scripting (Python, etc.) skills. Excellent analytical and problem-solving skills along with attention to details. Knowledge of Graphics/Compute APIs (DX/OpenGL/Vulkan/OpenCL etc.) Knowledge of GPU architecture is a plus. ACADEMIC CREDENTIALS: Bachelor or Master of Science degree with emphasis in Computer Science, Computer architecture, or Electrical Engineering with relevant experience preferred. This role is not eligible for Visa sponsorship. #LI-BM1 #LI-Hybrid