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 |
|---|---|---|
| Staff Silicon Design Engineer - Emulation This role is for a Staff Silicon Design Engineer focused on emulation at AMD. The responsibilities include executing emulation test plans, collaborating with design and verification teams, contributing to test bench design, and debugging. Experience with SystemVerilog, C/C++, UVM, and emulation methodologies is preferred. The role is not directly involved in building or researching AI/ML models. | — | 0 |
| Senior Software Development Engineer This role is for a Senior Software Development Engineer on AMD's Graphics & Engineering IP team, focusing on developing and maintaining C/C++ software simulation platforms for GPUs. The role involves working in a hardware/software codesign environment, debugging, testing, and improving model accuracy, and identifying opportunities to enhance the design and verification environment. While the company mentions AI and data centers, the core responsibilities are centered around GPU simulation and hardware/software co-design, not direct AI/ML model development or deployment. | — |
| 0 |
| Test Manager (GPU, kernel/ hardware‑software integration testing) Lead a Serbia-based GPU Linux driver integration testing team, responsible for team leadership, execution quality, and delivery of integration and validation workflows supporting AMD's Linux GPU software stack. This includes managing day-to-day execution of test plans, automation workflows, and integration validation, setting goals, tracking progress, and driving continuous improvement in test coverage and triage efficiency. | — | 0 |
| Machine Learning Systems Validation Engineer | — | — |