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: DC-GPU Performance Modeling Engineer (3), Sr. Software Development Engineer (3), Data Center Engineer (2), MTS Software Development Engineer (2), Software Development Engineer (2). Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (78%), data (10%), agents (5%). 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 (30 roles), India (13 roles), Poland (5 roles), China (5 roles).
Job postings at AMD most frequently mention: GPU Computing, Computer Architecture, Python, C++, PyTorch.
In the past 30 days, AMD has posted 70 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Software Development Engineer AI Engineer at AMD focused on end-to-end Agentic AI development, including prompt engineering, context engineering, and production deployment. The role involves designing, building, and deploying AI agents integrated with enterprise systems, working closely with users in real-world environments (Forward Deployment Engineering). Responsibilities include developing RAG pipelines, optimizing agent performance, and integrating solutions with APIs and databases. | Agent | 8 |
| Sr. AI Software Engineer Senior AI Engineer role focused on end-to-end Agentic AI development, including prompt engineering, context engineering, and production deployment of AI agents integrated with enterprise systems. Responsibilities include designing and building AI agents with multi-step workflows, tool usage, and memory, implementing function calling, developing RAG pipelines, and optimizing performance. The role also involves prompt/context engineering, developing evaluation frameworks, and forward deployment engineering to integrate solutions into live business workflows, working directly with stakeholders, and monitoring production systems. |
| Agent |
| 8 |
| AI Software Development Engineer AI Engineer role focused on end-to-end Agentic AI development, including prompt engineering, context engineering, RAG pipelines, and production deployment of AI agents integrated with enterprise systems. Responsibilities include designing and building AI agents with multi-step workflows, tool usage, memory, function calling, and structured outputs, as well as developing RAG pipelines and context management strategies. The role also involves forward deployment engineering, integrating AI solutions into live business workflows, and working with stakeholders to refine use cases and monitor production systems. | Agent | 8 |