The AI Models and Applications team at AMD is seeking a specialized Principal Engineer focused on enabling innovative and efficient Generative AI training and inference at scale. This role involves working with a talented team to scale training and inference for the latest Generative AI models. The engineer will contribute to the development of efficient approaches for distributed training and inference on AMD devices. This position offers the opportunity to work with cutting-edge technology and make a significant impact across various industries.

• Deep technical understanding and hands-on experience with Generative AI applications in areas such as large language models, 3D World and Action Models, or image/video generation models.
• Experience training models at scale and developing efficient approaches for distributed training and inference on AMD devices.
• PhD or master’s degree in computer science, Electrical Engineering, Mathematics, or a related field.
• Several years of experience in AI, deep learning, and related software development.

• Propose and apply innovative techniques to support both training and inference, including transformer architectures and parallelism strategies.
• Implement novel, efficient architectures for Generative AI models for training and inference and showcase the benefits on AMD platforms.
• Work with open-source frameworks and communities to integrate AMD-optimized models and libraries and publish training recipes.
• Collaborate with software and hardware teams to co-optimize end-to-end performance on current and future AMD solutions.
• Increase adoption of agentic workflows for optimizing and deploying Generative AI applications at scale on AMD platforms.
• Publish and promote work at external venues, including major conferences.
• Collaborate with researchers within AMD and across industry and academia to promote innovation on AMD platforms.

• AMD provides a competitive 'Total Rewards' package that focuses on financial growth, health, and work-life balance.