Nvidia Senior Deep Learning Performance Engineer 

United States, California 

680808448

What You Will Be Doing:

• Understand, analyze, profile, and optimize large language model training on state-of-the-art hardware and software platforms.

• Understand the big picture of LLM training performance on GPUs, prioritizing and then solving problems across all state-of-the-art LLM variations from research to industry.

• Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.

• Implement and simulate key LLM workload behaviors in NVIDIA's proprietary processor and system simulators to enable future architecture studies.

• Build tools to automate workload analysis, workload optimization, and other critical workflows.

What We Need To See:

• PhD (or equivalent experience) in CS, EE or CSEE and 5+ years; or MS and 8+ years of relevant work experience.

• Strong background in deep learning and neural networks, in particular training and large language models.

• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

• Expertise in analyzing and tuning application performance, preferably on GPUs.

• Familiarity with common deep learning software packages like PyTorch and JAX.

• Prior experience with processor and system-level performance modelling.

• Programming skills in C++, Python, and CUDA.