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 |
|---|---|---|
| AI Framework Eng. Software engineer focused on building and optimizing robust, efficient software components for high-performance execution of large language models and multimodal models across multi-GPU systems. The role involves collaborating with internal teams and open-source maintainers to improve throughput, latency, and scalability, with an emphasis on full-stack development within AI inference systems and model behavior. | Serve | 8 |
| Principle AI Software Engineer Seeking a Principal AI Software Engineer to lead the design and development of next-generation AI inference systems, intelligent model routing, and cloud-native deployment technologies for AMD Instinct GPUs. This role involves working with LLM serving, semantic routing, Kubernetes, Envoy, AI gateways, and open-source infrastructure to enable high-performance, production-ready AI software. | ServeAgent |
| 8 |
| Senior Staff AI Software System Design Engineer Senior Staff AI Software System Design Engineer at AMD, focusing on custom development, debugging, optimization, and technical support of machine learning software for AMD server GPUs. The role involves working with AI frameworks, distribution, kernel operators, compilers, and runtimes, with a strong emphasis on performance optimization for inference and training workloads. Responsibilities include supporting customer Proofs of Concept (PoCs), driving custom AI software requirements from POC to release, and collaborating with various teams to optimize training and inference solutions. | ServePost-train | 8 |
| GPU Kernel Development Engineer GPU Kernel Development Engineer at AMD focused on optimizing deep learning frameworks (TensorFlow, PyTorch) for AMD GPUs. The role involves developing and optimizing GPU kernels, deep learning models, and improving training/inference performance across distributed systems, leveraging compiler technologies and low-level programming. Collaboration with internal GPU library teams and open-source maintainers is key. | ServePost-train | 7 |
| Sr. Software Development Engineer Senior Software Development Engineer focused on optimizing AI/ML models (CNN, Transformer, LLM, multimodal) for AMD hardware platforms. Responsibilities include developing quantization, low-precision, and compression features, building production-quality Python tools, and analyzing performance tradeoffs. Collaborates with researchers, framework engineers, and hardware experts. | ServePost-train | 7 |