Generative AI Engineer - Graphics - TX, Austin, United States
Originally posted 21 October 2026 by the employer.
Develop and optimize diffusion models and multimodal architectures on AMD GPU architectures.
About the role
AMD is seeking an experienced AI/ML Engineer to join the Applied Research and Engineering team to develop and optimize AI models for image generation, diffusion-based learning, and multimodal applications. The role focuses on building AI solutions that leverage AMD GPU architectures for visual computing, content creation, and graphics.
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 machine learning algorithms. - Build scalable training and inference pipelines leveraging high-performance GPU computing. - Evaluate model quality, performance, and efficiency using benchmarks and evaluation techniques. - Collaborate with research, software, and hardware teams to integrate AI models into AMD technologies. - Optimize AI workloads for AMD GPU architectures and contribute to performance analysis.
What you'll need
- Software development experience in Python and C++. - Understanding of machine learning, deep learning, and neural network architectures. - Experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks. - Experience with modern software engineering practices, Git, and CI/CD workflows.
Nice to have
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field. - Experience developing and training diffusion models, image generation models, GANs, transformers, or multimodal AI systems. - 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.
Skills: diffusion models, Generative AI, PyTorch, GPU acceleration, deep learning
This role has been open 0 days — well below the 55-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
234
|
Median days open
55 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (234 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 53 | 234 |
| Open roles in the wider Software, Firmware & Systems family | 406 | 6296 · 145 employers |
| Median days open | 55 d | 55 d (same as this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: diffusion models, Generative AI, PyTorch, GPU acceleration, deep learning
Who's hiring in this category
- NVIDIA · 115 open roles · median 56 d
- AMD (this employer) · 53 open roles · median 54 d
- Intel Corporation · 23 open roles · median 12 d
- Qualcomm · 18 open roles · median 125 d
- Arm Holdings · 5 open roles · median 118 d
- Graphcore · 3 open roles · median 0 d
How we counted: 234 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.