Deep Learning Performance Intern - 2027

Overview

• NVIDIA is developing processor and system architectures that accelerate deep learning on edge devices, workstations, and data center GPUs for a variety of applications including automotive, robotics, large language models and AI generative models.
• We are looking for an expert deep learning system performance architect to join our deep learning modelling, performance optimization, projections, and analysis effort.
• In this position, you will have the chance to optimize deep learning hardware and software architecture and make the significant impact in a dynamic technology focused company.
• What you’ll be doing: • Benchmark and analyze performance of various machine learning/deep learning algorithms on different GPU/NPU architectures • Develop performance models and provide performance projections for deep learning workloads on different architectures • Identify architecture, software and system performance bottlenecks and propose optimizations • Explore new features and hardware capabilities on deep learning applications What we need to see: • BSc.
• MS or PhD in relevant discipline (CS, EE, Math, etc.,) • Be familiar with GPU or Accelerator-based deep learning platform and software stack • A strong background in computer architecture • Be familiar with LLM or generative AI deep learning algorithms and kernel optimizations • Experience in system architecture design and performance optimization • Familiar with machine learning and deep learning frameworks.