Generative AI Engineer, Graphics

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TXBoston, MAOrlando, FLSan Jose, CAMarkham, ON, Canada
Salary
$212,000–$318,000 / yr
Posted
5 days ago
Freshness
Confirmed live today
Closes
Oct 21, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $265k
$130k $338k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $162,375–$246,150 — the blue band above. At the midpoint, this role pays about $265k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Generative AI Engineer, Graphics

Generative AI Engineer - Graphics will join the Applied Research and Engineering team to advance next-generation Generative AI technologies. The role involves developing, training, and optimizing state-of-the-art models for image generation, diffusion-based learning, and multimodal applications. Key responsibilities include designing diffusion models, building scalable training and inference pipelines, and optimizing AI workloads for GPU architectures. The engineer will evaluate model quality and performance while collaborating with research, software, and hardware teams to integrate innovations into visual computing. Required skills include proficiency in Python and C++, deep knowledge of neural network architectures, and experience with PyTorch, TensorFlow, or JAX. The position focuses on solving complex problems in image synthesis, computer vision, and large-scale machine learning to accelerate content creation and intelligent computing.

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 leveraging high-performance GPU computing.
  • Evaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks.
  • Optimize AI workloads specifically for AMD GPU architectures and contribute to performance analysis.
  • Integrate AI innovations into AMD technologies by collaborating with research, software, and hardware teams.

What we're looking for

  • 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.
  • Optimize AI workloads for AMD GPU architectures and contribute to performance analysis.
  • Strong software development experience in Python and C++ (preferred).
  • Deep understanding of machine learning, deep learning, and neural network architectures (preferred).
  • Experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks (preferred).
  • Master's degree or PhD in Computer Science, AI, Machine Learning, Computer Engineering, or a related technical field (preferred).

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