Deep Learning Performance Architect

NVIDIA, the world leader in accelerated computing, is seeking a Deep Learning Performance Architect to join their AI performance modeling and analysis efforts. This role focuses on developing processor and system architectures that accelerate deep learning and high-performance computing applications. The position offers the opportunity to work on DL performance modeling, analysis, and optimization on state-of-the-art hardware architectures for various LLM workloads.

The ideal candidate will be responsible for analyzing cutting-edge deep learning networks, developing analytical models, and influencing both software and architecture teams for NVIDIA's current and next-generation inference products. They will work on specifying hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future processor configurations.

This role requires a strong background in computer science, electrical engineering, or related fields, with extensive experience in AI models and deep learning frameworks. The position offers the chance to work with some of the most forward-thinking professionals in the technology world, contributing to NVIDIA's dynamic and innovative environment.

NVIDIA provides competitive salaries and generous benefits, making it one of the technology world's most desirable employers. The company is committed to fostering a diverse work environment and proudly maintains an equal opportunity employment policy. This role represents an excellent opportunity to be at the forefront of AI and deep learning technology advancement while working with state-of-the-art hardware and software systems.