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Generative AI Engineer - Graphics

Advanced Micro Devices, Inc San Jose, CA

San Jose, CA

Today

Full time Agentic Ai Ai Image Generation Artificial Intelligence

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Job Description

Join Advanced Micro Devices, Inc. to build and optimize generative AI technologies that power image generation, diffusion-based learning, and multimodal applications. This onsite role in San Jose, California brings together research-minded development with GPU-focused engineering, with an emphasis on training and inference pipelines, model evaluation, and performance optimization for AMD GPU architectures.

What you’ll do

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 using high-performance GPU computing.
Evaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.
Partner 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.
Stay current with emerging advancements in generative AI, image synthesis, diffusion models, and large-scale machine learning.

What you’ll bring

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.
Hands-on experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks.
Experience fine-tuning and deploying large-scale AI models.
Familiarity with distributed training, model optimization, and GPU acceleration techniques.
Experience building AI training and inference pipelines in production environments.
Knowledge of computer vision, image synthesis, and multimodal learning techniques.
Experience with MLOps, CI/CD workflows, Git, and modern software engineering practices.
Experience leveraging AI coding assistants, agentic AI systems, or automated development workflows.
Strong communication, collaboration, and problem-solving skills.

Tech you’ll work with

Python, C++
Diffusion models, GANs, transformers, multimodal AI systems
PyTorch, TensorFlow, JAX
MLOps, CI/CD, Git
AI coding assistants, agentic AI systems

Education

Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related field.

Benefits

AMD benefits at a glance.

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