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 50 new AI-related roles. That is a -28% change versus the prior 30 days (69 → 50).
| Title | Stage | AI score |
|---|---|---|
| Sr. Manager Software Development Senior Manager of Graphics Research to lead a team of researchers and engineers advancing GPU architecture, graphics algorithms, rendering technologies, and visual computing. The role involves defining research strategy, investigating next-generation rendering techniques, overseeing GPU architecture graphics features, and transitioning innovations into products. It also includes evaluating and integrating AI/ML-driven graphics techniques, managing and mentoring the team, and communicating progress to stakeholders. The role is at the intersection of cutting-edge research and product impact. | ShipPost-train | 7 |
| Software Development Eng. Software Development Engineer at AMD focused on architecting Machine Learning Models for Generative AI, with a specialization in graphics technology. Requires strong Python/C/C++ skills and expertise in ML techniques, particularly around model architecture and applications in graphics. Experience with model distillation and image upscaling is preferred. |
| Post-train |
| 7 |
| Applied AI & GPU Software Engineer Software Engineer focused on deploying and optimizing machine learning inference for commercial applications in content creation and CAE spaces, targeting performance and efficiency across heterogeneous platforms (GPU, NPU, CPU). | Serve | 7 |
| Senior Test Automation Engineer Senior Test Automation Engineer to build and own testing infrastructure for ML training data generation systems, focusing on distributed job orchestration, compute platform reliability, CI/CD, and validation of rendering output data. | Data | 5 |
| Program Manager Program Manager for AMD's Software Ecosystem Enablement team, focusing on graphics and AI-accelerated software. The role drives the development of research-driven, real-time, performance-sensitive software and leading-edge technologies including machine learning research. Responsibilities include defining roadmaps, end-to-end program planning and execution from research to product release, tracking execution, risks, and dependencies, and ensuring ecosystem readiness. The role requires technical fluency to engage with engineers and researchers, understanding of AI/ML techniques, and the ability to use AI tools for execution. | ShipData | 5 |
| Software Development Engineer - Advanced Graphics Programs Software Development Engineer at AMD focused on advanced graphics programs, aiming to shape cutting-edge software for gaming experiences optimized for AMD hardware. The role involves collaborating with research engineers and external partners to turn prototypes into production-ready solutions, optimizing code, and contributing to core engineering tasks. Familiarity with machine learning concepts and libraries is preferred. | — | 2 |
| GPU SDK Engineer. This role focuses on designing, developing, and maintaining GPU SDK components and libraries for graphics and compute applications. It involves implementing rendering techniques, optimizing GPU workloads, developing API interfaces, and collaborating with various stakeholders. The role requires strong C++ and HLSL skills, understanding of GPU pipelines, and experience with profiling tools. | — | 0 |
| Compiler Performance Engineer This role is for a Senior Compiler Performance Engineer at AMD, focusing on improving the performance of applications and benchmarks on AMD platforms by analyzing compiler-generated code, refactoring code for optimizations, and working with compiler specialists. The role involves identifying performance bottlenecks, researching efficient methods, and contributing to open-source projects. While the company mentions AI and its own AI policy, this specific role is centered on general compiler performance engineering, not AI model development or research. | — | 0 |
| Software Performance Engineer Software Performance Engineer at AMD focused on improving the performance of key applications and benchmarks by building and maintaining automation, writing hardware-aware workloads, and developing cross-platform code. The role involves performance optimization and analysis across CPU, GPU, memory, storage, and other devices. | — | 0 |