AMD is seeking an experienced AI/ML Engineer to join its Applied Research and Engineering team, focusing on advancing generative AI technologies such as image generation and diffusion models. The role involves developing and optimizing state-of-the-art models, building scalable training and inference pipelines on AMD GPUs, and collaborating with research, software, and hardware teams. This is an on-site position based in San Jose, California.
Responsibilities
Develop, train, fine-tune, and optimize generative AI models for image generation and visual content creation.
Design and implement diffusion models, multimodal architectures, and advanced machine learning algorithms.
Build scalable training and inference pipelines leveraging high-performance GPU computing.
Evaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.
Collaborate with research, software, and hardware teams to integrate AI innovations into AMD technologies.
Optimize AI workloads for AMD GPU architectures and contribute to performance analysis and improvements.
Requirements
Strong software development experience in Python and C++.
Deep understanding of machine learning, deep learning, and neural network architectures.
Experience developing and training diffusion models, image generation models, GANs, transformers, or multimodal AI systems.
AMD is a prominent semiconductor company that develops high-performance and adaptive computing solutions, including microprocessors, GPUs, and AI accelerators for data centers, gaming, and embedded systems. Founded in 1969, it is a key player in the technology sector, serving global OEMs, cloud providers, and system integrators.