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 |
|---|---|---|
| 多模态算法工程师（模型优化方向）/ Multimodal Algorithm Engineer (Model Optimization) This role focuses on optimizing multimodal foundation models, specifically Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), and World Action Models (WAMs), for AMD platforms. Responsibilities include training, compression, quantization, and inference optimization to enable next-generation embodied AI and multimodal agents. The role requires strong software engineering skills and collaboration with compiler and software teams. | AgentPost-train | 9 |
| AI Agent Engineer Develops and orchestrates AI agent systems, including multi-agent architectures, MCP servers, and tool-use frameworks, leveraging machine learning models and data analysis to solve team problems. Requires strong Python/C++ skills and experience with agent frameworks. |
| Agent |
| 9 |
| Physical AI Partner Technical Enablement Lead This role focuses on enabling external partners (solution scaling partners, outsourced partners, universities, research labs, and the Physical AI developer community) to build, optimize, and deploy Physical AI solutions on AMD platforms. It involves technical guidance, ecosystem development, community engagement, and cross-functional collaboration to accelerate AMD's Physical AI ecosystem in China, with a focus on robotics, automotive, and multi-modal inference workloads. | AgentServe | 7 |
| AI Agent Engineer This role focuses on driving AI application solutions, specifically in AI Agent development and integration with LLMs. The engineer will be responsible for technical innovation to improve AMD's AI capability and team efficiency within the platform validation team, including tool and script development. Expertise in Python and AI Agent development frameworks is required. | Agent | 7 |