Machine Learning Compiler Research Intern
| Company | NVIDIA |
|---|---|
| Location | Redmond, WA, USA, Santa Clara, CA, USA |
| Salary | $18 – $71 |
| Type | Internship |
| Degrees | Master’s, PhD |
| Experience Level | Internship |
Requirements
- Pursuing Master’s or PhD degree in CS or related field.
- Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
- Knowledge of CPU and/or GPU architecture.
- CUDA or OpenCL programming experience desired but not required.
Responsibilities
- Developing highly optimized solutions for deep learning algorithms.
- Collaborating with members of the open source deep learning software engineering community to define and implement features needed to accelerate deep learning software frameworks.
- Defining public APIs, performance tuning and analysis, crafting and implementing compiler and optimization techniques for neural networks, and other general software engineering work.
Preferred Qualifications
- Experience with deep learning models and algorithms, deep learning framework design, high performance compiler design, or EDA synthesis and optimization algorithms.
- A history of mentoring others.