AMD currently has 35 active AI-related job listings. The majority of these roles, 66%, are focused on serving infrastructure. Engineering is the dominant function, with 32 positions. Frequent technical tags include model_serving, inference_infra, and evals, suggesting a focus on the deployment and evaluation of AI models. In the last 30 days, AMD posted 37 new AI roles.
AMD currently has 59 active AI-related roles in our index. The most common open titles are: Data Center Engineer (2), Lead Packaging Automation Engineer (2), Software Development Engineer (2), AI Framework Engineer, AI Software Development Eng.. Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (54%), agents (19%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
AMD is hiring AI talent in: United States (29 roles), India (8 roles), Poland (6 roles), China (5 roles).
Job postings at AMD most frequently reference: model serving, inference infra, fine tuning, agent orchestration, evals.
In the past 30 days, AMD has posted 68 new AI-related roles. That is a +209% change versus the prior 30 days (22 → 68).
| Title | Stage | AI score |
|---|---|---|
| Program Manager Program Manager for AMD's Software Ecosystem Enablement team, focusing on graphics and AI-accelerated software. The role drives the development of research-driven, real-time, performance-sensitive software and leading-edge technologies including machine learning research. Responsibilities include defining roadmaps, end-to-end program planning and execution from research to product release, tracking execution, risks, and dependencies, and ensuring ecosystem readiness. The role requires technical fluency to engage with engineers and researchers, understanding of AI/ML techniques, and the ability to use AI tools for execution. | ShipData | 5 |
| Software Validation Engineer Software Validation Engineer at AMD focused on validating and optimizing graphics technologies like upscaling, frame generation, and ML-driven rendering. The role involves designing and maintaining automated validation frameworks, performing testing in Windows/Linux, and optimizing CI/CD workflows. It requires strong Python and test automation skills, understanding of rendering pipelines, and experience with graphics debugging tools. The role contributes to shipping AI-enhanced graphics features to consumers. |
| Ship |
| 5 |
| Lead Validation Engineer Lead Validation Engineer at AMD focusing on next-generation ML-powered gaming technologies like upscaling and frame generation. The role involves owning end-to-end validation strategy, architecture, and execution for these complex features, ensuring visual quality, stability, and scalability. Responsibilities include defining validation direction, mentoring engineers, and partnering with research and productization teams. The role also emphasizes leading the adoption of AI-driven solutions to improve validation efficiency. | Ship | 5 |
