Generative AI Engineer - Graphics - CA, San Jose, United States
Originally posted 16 October 2026 by the employer.
About the role
As a Generative AI Engineer, you will develop and optimize AI models for image generation, diffusion-based learning, and multimodal applications.
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.
- Collaborate 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.
What you'll need
- 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.
Nice to have
- 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.
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field preferred.
Skills: Generative AI, diffusion models, GPU technologies, machine learning frameworks
This role has been open 0 days — well below the 81-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
81 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 42 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 409 | 6157 · 145 employers |
| Median days open | 76 d | 81 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: Generative AI, diffusion models, GPU technologies, machine learning frameworks
Who's hiring in this category
- Qualcomm · 102 open roles · median 107 d
- NVIDIA · 90 open roles · median 51 d
- AMD (this employer) · 41 open roles · median 79 d
- Micron Technology · 27 open roles · median 66 d
- Analog Devices · 19 open roles · median 34 d
- Mobileye · 17 open roles · median 78 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 16 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.