Nvidia Deep Learning Safety Critical Applications Internship-Fall-PAID

Description

The Nvidia Deep Learning Safety Critical Applications Internship-Fall is available to undergraduate and graduate students who are pursuing a degree in Computer Science, Computer Engineering, or related field. You must have strong programming skills in C/C++ and/or Python and have experience in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel) to be considered for this internship. Preference will be given to applicants who have knowledge of CPU and/or GPU architecture and who have experience optimizing for high performance computing, linear algebra algorithms, parallel implementations, code coverage, and static code analysis tools. As an intern, you will design/develop robust and scalable GPU-accelerated deep learning libraries, build scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries. You will maintain/test environments for new hardware, new OSes, and platforms by using industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira) and develop state of the art software and hardware products. This internship is located in Santa Clara, CA. Average monthly compensation for a Nvidia Intern is $8,000.