Adjunct Instructor

Qualifications:

Bachelor's degree in Computer Science or Machine Learning or equivalent work experience requested; 4 years of relevant experience accepted in lieu of a degree.

Ability to effectively teach the course, which covers the design and implementation of a modern machine learning compiler, and examines the interaction between IR design, hardware capabilities, and the structure of machine learning programs. Topics covered include term rewriting, code generation, movement operators, kernel fusion, memory hierarchies, GPU architecture, automatic differentiation, and flash attention. It is a project course, providing experience with performance-oriented programming, managing a codebase that grows all semester, and working in 1 or 2 person teams, culminating in a compiler capable of training modern LLMs.