> Markdown version of [/jobs/ext/2751057-gpu-performance-architect](https://www.wearedevelopers.com/jobs/ext/2751057-gpu-performance-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GPU Performance Architect - **Company:** Advanced Micro Devices, Inc. - **Location:** Austin, TX, United States - **Salary:** $178,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Compilers, Nvidia CUDA, Computer Graphics, DirectX (Software), Python (Programming Language), Linux Kernel, Scripting, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Information Technology - **Published:** September 6, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88260660/1 ## About the Role A self-motivated graphics enthusiast. An effective team playerwho focuses on collaboration, team building, mentoring, and furthering team success.Excellent analytical and problem-solving skills, along with attention to details.Strong communication, time management, and presentation skills.Effective Team player who focuses on collaboration and furthering team success, * Experience spanning architecture, performance analysis andAI/ML/graphics/compute algorithms * Experience in Kernel development of LLMs using PyTorch, Triton, CUDA, HIP etc. * Excellent C/C++/Scripting (Python, etc.) experience * Knowledge of Graphics/Compute APIs (DirectX/Vulkan/CUDA/HIP etc.) * Experience with AI/ML use cases and demonstrated ability to effectively leverage and collaborate with AI agents in modern engineering workflows * Knowledge of GPU architecture and Compilers * Experience in GFX profiling tools is a plus (PIX,RenderDoc, AMD tools, etc.), * Bachelor of Science, Masters or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science is preferred ## Description The Architecture team plays a critical role in AMD's success by driving innovation and delivering world-class GPU hardware solutions. As a GPU Performance Architect, you will work on cutting-edge projects alongside a highly skilled and passionate global team., * Work on workload/competitive analysis of contemporary and futuristic game/AI/MLapplications * Identifycomplex technical problems, break them down, summarize multiplepossible solutions, and help the team make progress * Work with architects to understand bottlenecks in graphics cores and SoCs * Analyze existing and emerging graphics/compute paradigms and algorithms * Implement and run simulation models - i.e., both RTL and high-level simulation to estimate potential gains * Propose innovative solutions for PPA improvements * Drive initiatives to improve RTG analysis tools * Collaboratewith engineers and managers on multiple sites., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Intermediate Bitcoin Script](https://www.wearedevelopers.com/videos/25-intermediate-bitcoin-script) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)