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 |
|---|---|---|
| Sr. Software Development Engineer Sr. Software Development Engineer at AMD to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations, applying principles and techniques of computer science, engineering, and mathematical analysis. This includes designing, developing, troubleshooting, and debugging software programs for data analysis and modeling to help system validation, and developing software and tools in support of design, infrastructure, and technology platforms. The role also involves researching, designing, developing, and/or testing frameworks useful for system validation, applying principles and techniques learned in engineering, in particular generative AI-based models and process optimization. Experience with C, C++, Python, software verification, debugging, system workflow validation, GPU programming, code optimization, machine learning, Generative AI, and Git is required. | Data | 7 |
| Senior Machine Learning Data Engineer Senior ML Data Engineer responsible for defining, designing, and driving the development of next-generation machine learning data infrastructure, including feature stores, training data pipelines, and data lakes. Focuses on scalable data pipeline design, ML platform excellence, and enabling the delivery of AI technologies. |
| Data |
| 7 |
| Sr. Software Development Engineer This role focuses on developing and designing software for semiconductor operations, specifically involving machine learning algorithms, back-end code generation, and chip compilers within the MLIR framework. The engineer will research, design, develop, and test operating systems-level software, compilers, and network distribution software, applying principles of computer science and engineering. | Data | 7 |
