Nvidia Deep Learning Performance Architect Intern 

China, Shanghai 

631427746

What you'll be doing:

• Analyze the performance of various machine learning/DL algorithms on existing/new architectures

• Identify bottlenecks and propose creative solutions to improve them

• Develop high performance operations for cuDNN library

• Designing and developing software for testing and analysis of our codebases

• Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries

• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g., Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)

What we need to see:

• Pursuing a B.S., M.S., or PhD degree in computer science (or similar)

• Strong programming skills in C/C++ development

• Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU

• Excellent problem solving skills, including applications of algorithms and data structures.