Staff Software Development Engineer- GPU, LLM, AI

Advanced Micro Devices, Inc•Santa Clara, CA

1d•Hybrid

About The Position

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 looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. As a Senior Staff Software Developer, you will be at the heart of AMD's AI strategy, tackling one of the most exciting challenges in the industry: training and running AI to make AI itself more efficient on GPUs on the fly, which can dramatically alter the trajectory of AI progress. This is a high-impact, hands-on role where your work will directly define the software that powers the future of AI.

Requirements

Lengthy professional software development experience in performance-critical environments.
Extensive hands-on experience in GPU programming (HIP/CUDA) and optimizing deep learning kernels and operators.
A fundamental understanding of GPU architecture and memory hierarchy, used to diagnose and resolve complex performance bottlenecks.
Expert-level proficiency in modern C++ and object-oriented design.
Deep experience using GPU profiling and performance analysis tools (e.g., AMD ROCm Profiler, NVIDIA Nsight) to diagnose and resolve complex bottlenecks in distributed, multi-GPU systems.
Deep knowledge of transformer architectures, attention mechanisms, and modern AI systems (Generative AI, Agentic AI).
Hands-on experience optimizing the post-training and inference pipelines of Large Language Models (LLMs).
Strong technical ownership, communication, and problem-solving skills with a track record of delivering complex technical solutions.
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
This role is not eligible for visa sponsorship.

Nice To Haves

Plus: Experience or deep expertise with the AMD ROCm/HIP ecosystem.
Master's degree preferred, PhD is a plus.
Relevant publications in AI/ML, GPU computing, or system optimization are highly valued.
Experience and interest in code generation and/or self-improving LLMs is a plus.

Responsibilities

Architect and Drive the AI Software Stack: You will establish best practices and optimize performance from the lowest-level GPU kernels to large-scale distributed systems, shaping the foundational software for AMD hardware. By leveraging cutting-edge Large Language Models (LLMs) and agent-based technologies, you will accelerate the development and performance enhancement of the AMD ROCm ecosystem, ensuring it remains at the forefront of AI innovation.
Accelerate Foundational Models: Your work will directly accelerate cutting-edge applications like foundation models (LLMs) and autonomous AI agents, ensuring AMD is the platform of choice for the most demanding workloads.
Innovate Across Hardware and Software: You will contribute to the entire co-design lifecycle, from influencing future GPU architectures to developing groundbreaking software for new accelerators and collaborating with the broader AI community.
Success in this role requires a deep passion for software engineering, strong technical ownership to see complex problems through to resolution, and the ability to influence technical direction across teams. As a senior engineer, you will also be expected to mentor others and effectively communicate your ideas to shape the future of AI at AMD.