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 62 active AI-related roles in our index. The most common open titles are: DC-GPU Performance Modeling Engineer (3), Data Center Engineer (2), Lead Packaging Automation Engineer (2), 3D IC and ADVANCED PACKAGING CAD ENGINEER , AI Framework Engineer. Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (73%), agents (13%), application (6%). 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 (27 roles), India (13 roles), China (7 roles), Canada (6 roles).
Job postings at AMD most frequently mention: GPU Computing, Computer Architecture, Compiler Design, Python, Performance Profiling.
In the past 30 days, AMD has posted 55 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 researching, designing, and developing security architectures for semiconductor and cryptographic systems, with a specific emphasis on privacy-preserving machine learning using homomorphic encryption for secure AI operations on GPUs. It involves side-channel analysis, strengthening TEE and SEV systems, and designing secure computation frameworks for ML accelerators, contributing to FIPS certification readiness. | 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 |