Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
AMD is seeking a talented ML Inference Engineer who is passionate about pushing the boundaries of ML performance for Gaming and Generative AI. In this role, you'll design, implement, and optimize high‑performance GFX kernels that power next‑generation visual and AI experiences across AMD's product ecosystem. You'll collaborate closely with hardware architects, software teams, and product groups to drive ML‑accelerated technologies into real customer applications.
The Person:
We are looking for an engineer with deep technical expertise in translating neural network models into highly efficient GPU inference implementations. You should be excited about the intersection of graphics and machine learning, with a strong understanding of GPU hardware, ML operators, and modern network architectures such as transformers and scaled dot‑product attention.
You will work across multiple layers of the stack—kernels, shaders, compilers, and performance modeling—to deliver optimized ML workloads on AMD GFX hardware.
Key Responsibilities:
Transform neural network models and algorithms written in PyTorch/Onnx to efficient GFX shaders using languages such as HIP, Cuda, HLSL
Design, implement, and optimize high‑performance GPU kernels for ML operators.
Build AI‑driven automation tools to accelerate kernel generation and optimization workflows.
Analyze and debug performance bottlenecks in collaboration with compiler and performance modeling teams.
Stay up‑to‑date with advancements in GPU architecture, ML accelerators, rendering techniques, and ML/GFX frameworks.
Contribute to tools and methodologies for integrating optimized shaders into game engines.
Drive next‑generation features across hardware, drivers, and compilers with a focus on performance per watt and performance per area.
Document and share knowledge on best practices for GFX and ML programming within the team.
Participate in code reviews and provide constructive feedback to peers.
Preferred Experience:
Strong programming skills in C++ and Python.
Hands‑on experience optimizing GPU kernels for ML workloads using frameworks like HIP, CUDA, OpenCL, or HLSL.
Deep understanding of GPU architecture: compute units, memory hierarchy, cache, scheduling, and the GPU programming model.
Experience with graphics APIs (DirectX, Vulkan, OpenGL) and shader programming.
Solid grasp of ML operators, their mathematical foundations, and modern ML architecture concepts.
Experience with concurrent programming and threading.
Development experience on Windows and/or Linux.
Familiarity with software tools such as CMake and GitHub.
Familiarity with low‑level GPU languages (e.g., PTX).
Understanding of ML techniques applied to graphics and rendering.
Strong communication, collaboration, and problem‑solving skills.
Academic Background
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
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Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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