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: Data Center Engineer (2), Lead Packaging Automation Engineer (2), Software Development Engineer (2), AI Framework Engineer, AI Software Development Eng.. Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (54%), agents (19%), application (14%). 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 (29 roles), India (8 roles), Poland (6 roles), China (5 roles).
Job postings at AMD most frequently reference: model serving, inference infra, fine tuning, agent orchestration, evals.
In the past 30 days, AMD has posted 68 new AI-related roles. That is a +209% change versus the prior 30 days (22 → 68).
| Title | Stage | AI score |
|---|---|---|
| Lead AI/ML Software Use Cases Validation Engineer Lead AI/ML Software Use Cases Validation Engineer at AMD in Bangalore, India. This role focuses on validating AI/ML compute stacks and Physical AI SDKs, leading end-to-end AI pipeline validation, benchmarking, and performance optimization on Linux platforms. The engineer will work with various teams to deliver production-quality AI solutions aligned with customer use cases, focusing on model training, conversion, optimization, kernel execution, inference accuracy, and system-level optimizations. | ServeData | 8 |
| Lead Performance and Optimization Engineer Lead Performance and Optimization Engineer at AMD, focusing on optimizing ML inference performance on server-class CPUs using EPYC-optimized ML libraries and common frameworks. Responsibilities include benchmarking, performance debugging, OS/BIOS tuning, thread/core affinity, multi-instance execution, and automation using Python/Bash. Requires strong understanding of CPU architecture, Linux performance tuning, ML inference execution on CPU, and proficiency with performance analysis tools. |
| Serve |
| 7 |
| Senior AI/ML Software Use Cases Validation Engineer Senior AI/ML Software Use Cases Validation Engineer at AMD in Bangalore, India. Focuses on end-to-end AI pipeline validation, benchmarking, and performance optimization across Linux platforms, including model training, conversion, optimization, kernel execution, and inference accuracy. Requires strong Python scripting, automation, ML fundamentals (deep learning, LLMs), experience with AI frameworks (PyTorch, TensorFlow, ONNX Runtime), and accelerators (ROCm/HIP, CUDA, OpenCL). | ServePost-train | 7 |
