REQUIRED EXPERIENCE:

• Experience with development in one of the focus areas: AI frameworks, AI runtime stacks, and/or performance tuning and optimizations for workloads running on ML accelerator HWs.
• Experience with ML frameworks such as PyTorch, OnnxRuntime, JAX, TensorFlow
• Proficient in C++ programming.
• Experience developing and debugging in Python.
• Excellent skills at designing Python tools and libraries used by large number of users.
• Experience with AI model architectures, e.g. Transformers, CNNs.
• Team player and ready to work with a geographically distributed team.

PREFERRED EXPERIENCE:

• Highly preferred - knowledge of custom accelerator hardware
• Experience with AI software framework, benchmarking and profiling
• Operator/kernel development and deployment of models to accelerator (GPU/NPU) stack
• OR Depth of experience with model optimization, including quantization, sparsity.
• Solid understanding of model architectures, LLMs, MoE, diffusion.
• Experience on LLMs/LMMs finetuning, distillation, and/or RLHF

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_
Responsibilities:

THE ROLE:

AMD is looking for a world class AI frameworks engineer who can provide technical leadership in the development of various AI frameworks in the AMD ecosystem. You will need to drive technical direction for next generation frameworks for AI model training and inference for wide variety of AMD devices, current and future, such as MI Instinct, and Radeon GPUs, XDNA devices, including the recently released Ryzen AI, Alveo V70 and Versal ACAP, and datacenter CPUs such as EPYC. You will work enhance the AI framework capabilities to enable cutting-edge models on onto AMD’s cutting-edge hardware.