NVIDIA Compiler Engineering Internship-PAID

Description

The NVIDIA Compiler Engineering Internship is open to students pursuing a bachelor's or master's degree in computer science, computer engineering, or a related field. To be considered for this role, you should have some experience (courses, course projects, research projects) in one or more of the areas: GPU, CUDA, C++, performance analysis, compiler optimizations. Additionally, you should possess knowledge of compiler framework and concepts and have strong C/C++ and Python programming and software design skills. As an intern, you will work with other key team members on projects that are relevant to accelerating general purpose computation on the GPU. The CUDA programming language defines a unified programming model across a range of system configurations and hardware capabilities. The compiler is responsible for translating parallel programs written in the CUDA/C++ programming language into microcode that is optimized for fast execution on NVIDIA's family of industry-leading GPU architectures. This internship is offered in Santa Clara, CA; Austin, TX; and Redmond, WA.