AI Ml Software Design Engineer

at  AMD

Job Description

PREFERRED EXPERIENCE:

Experience with a vareitey of ML/AI models and applications: LLM, CNN, DNN, Natural Language Processing, Vision, Audio, Recommendation systems
Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design
Knowledge of NPU and GPU computing (HIP, CUDA, OpenCL) with a focus on edge deployment

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_

THE ROLE:

AMD is looking for a software engineer who is passionate about enabling and optimizing new AI & ML capabilities. You will be a member of a team of incredibly talented industry specialists and will work with the very latest client hardware and software technology to enable new user experiences.

KEY RESPONSIBILITIES:

Develop and optimize innovative AI/ML models on AMD GPUs and Neural Processing Unit (NPU)s
Build system test and end-user applications for next-generation x86 client notebook, desktop, and graphics products integrating new AI/ML models
Performance bottleneck analysis on pre/post silicon platforms for power and performance optimization
Optimize deep learning frameworks like TensorFlow, PyTorch, etc. on AMD GPUs in upstream open-source repositories
Collaborate and interact with internal NPU/GPU library teams to analyze and optimize training and inference
Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream
Apply your knowledge of software engineering best practices