Applied ML researcher, Generative AI - Advanced Graphics Programs

Applied ML researcher, Generative AI - Advanced Graphics Programs

Join AMD as an Applied ML researcher, Generative AI - Advanced Graphics Programs to drive innovation in generative AI and real‑time graphics technologies.

$/yr - $/yr

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. We push the limits of innovation to solve the world’s most important challenges while fostering a culture of collaboration, humility and inclusivity.

We are seeking an outstanding researcher who combines technical brilliance, innovative thinking in generative AI, and real‑time graphics expertise. The ideal candidate demonstrates deep knowledge of machine learning frameworks, transformers, and neural graphics, with strong programming skills in C++, Python, and GPU‑related technologies. They should translate academic insights into practical applications and contribute to technological innovation at the intersection of generative AI, gaming, and computational graphics.

In this role, you will invent and build disruptive technologies for PC gaming experiences, leveraging real‑time immersive rendering, generative AI techniques (diffusion/transformer), and large language models while influencing data‑center workloads.

• 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 and implement POCs to demonstrate disruptive technologies with focus on low‑level hardware and software optimizations.
• Create comprehensive datasets to test POCs for quality and performance.
• Contribute to software architecture specifications for ISV/Dev teams to aid deployment to product.
• Publish novel research in top conferences to strengthen AMD’s IP portfolio.

• Experience developing ML models in popular frameworks (PyTorch, Tensor Flow, etc.).
• Ability to reproduce STOA and iterate on it for specific applications.
• Strong understanding of attention modules, diffusion transformers, and vision transformers.
• Excellent C/C++ and scripting (Python) skills.
• Excellent analytical and problem‑solving skills with strong attention to detail.
• Knowledge of Graphics/Compute APIs (DX/OpenGL/Vulkan/OpenCL, etc.).
• Knowledge of GPU architecture is a plus.

• Bachelor or Master of Science degree in Computer Science, Computer Architecture, or Electrical Engineering, with relevant experience preferred.

This role is not eligible for Visa sponsorship.

AMD benefits at a glance.

AMD and its subsidiaries are equal‑opportunity employers and will consider all applicants regardless of protected characteristics. We encourage applications from all qualified candidates and will accommodate applicants’ needs under applicable laws.