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Ai Image Generation Engineer Jobs

2 jobs found

Today

Generative AI Engineer - Graphics

Advanced Micro Devices, Inc Austin, TX

Austin, TX

Today

Full time Ai Image Generation Artificial Intelligence Deep Learning

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Job Description

Advanced Micro Devices, Inc is seeking an experienced AI/ML Engineer to help build and improve Generative AI capabilities for image generation and visual content. This role sits at the intersection of machine learning and high-performance GPU computing, with a focus on developing scalable training and inference pipelines and translating new research into AMD technologies.

Working in an on-site environment, you will contribute to diffusion-based learning and multimodal applications, while evaluating model quality, performance, and efficiency using modern benchmarks and techniques.

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 that leverage 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 support performance analysis and improvements.
Stay current with advancements in Generative AI, image synthesis, diffusion models, and large-scale machine learning.

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.
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.

Education

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

On-Site Locations

Austin, TX
Boston, MA
Orlando, FL
San Jose, California
Markham, ON, Canada

Technologies

Python, C++, PyTorch, TensorFlow, JAX
GANs, transformers
Git, MLOps, CI/CD
Distributed training, GPU acceleration, GPU computing

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3d ago

Generative AI Engineer - Graphics

Advanced Micro Devices, Inc San Jose, CA

San Jose, CA

3d ago

Full time Agentic Ai Ai Image Generation Artificial Intelligence

Apply Now

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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Ai Image Generation Engineer Jobs

Generative AI Engineer - Graphics

Generative AI Engineer - Graphics

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