Staff Applied Machine Learning Software Engineer – Generative AI

at  Advanced Micro Devices Inc

PREFERRED EXPERIENCE:

• Solid understanding of CNN, Transformer model architectures, LLMs, Stable Diffusion models.
• Strong development and debugging skills in Python.
• Experience with model optimization, including quantization, sparsity algorithms.
• Experience in development with ML frameworks such as PyTorch, ONNXRuntime, JAX, TensorFlow.
• Familiarity with torch.fx and/or other AI compilers, execution runtime.
• Experience in C++ programming for GPUs and/or custom accelerators
• Highly preferred - knowledge of custom accelerator hardware
• Knowledge of LLMs/LMMs finetuning methods like RLHF.
• Knowledge of parameter efficient techniques like LoRA QLoRA.
• Contributions to open ML research or developer community
• Strong communication and problem-solving skills.

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:

The AI Group at AMD is searching for talented and motivated engineers and scientists to work on Generative AI inference solutions. You will explore and improve upon state-of-the-art research in both academia and industry and innovate in the areas of software development, model optimization and compression algorithms for Generative AI applications such as LLMs, Stable Diffusion and Multi Modal Models. You will be a part of the core AI Solutions team enabling GenAI on a wide variety of AMD’s products such as RyzenAI XDNA/NPU, CPU, GPU and embedded architectures. Your work will shape and influence AMD’s inference and training solutions across the software stack from frameworks like Pytorch/ONNX to custom hardware like NPU/GPU.

KEY RESPONSIBILITIES:

• Accelerate inference of Generative AI on AMD’s products.
• Develop tools and techniques for model analysis, profiling, performance projections and analyzing architecture bottlenecks.
• Architect and prototype custom kernels on GPUs and CPUs (HIP, CUDA, OpenCL, Triton, etc.)
• Optimize deep learning inference pipeline including graph compilation using AMD AI compilers.
• Reproduce and improve upon state-of-the-art quantization, pruning, optimization algorithms in Pytorch and Python.
• Develop high quality software to enable next-gen solutions.
• Collaborate with AI/ML frameworks and infrastructure teams to enable new algorithms in the platforms.
• Collaborate with AMD Research and Architecture teams to improve future products.
• Team player and ready to work with a geographically distributed team.
• Influence the direction of AI/ML platforms for inference and training.