Software Engineer Intern - Deep Learning

Company: Nvidia
Location: Santa Clara, California, United States
Type: Full-time
Posted: 04.SEP.2021
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NVIDIA's Deep Learning Libraries Team is looking for excellent interns to enable the next wave of NVIDIA's highest performing deep learning ...


NVIDIA's Deep Learning Libraries Team is looking for excellent interns to enable the next wave of NVIDIA's highest performing deep learning libraries, such as cuDNN and TensorRT. The mission is to design and develop scalable and modular software products that enable breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence. Join the team which is building software which will be used by the entire world.What you'll be doing:In this role, you will be responsible for developing and delivering highly optimized deep learning products. The scope of these efforts ranges from defining the public APIs to performance tuning and analysis, from building developer infrastructure to testing automation, from joining architecture discussion to learning latest and greatest technologies from the research community.Design and develop robust and scalable GPU-accelerated deep learning libraries, using C++ and object oriented design.Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning librariesMaintain and test environments for new hardware, new OSes, and platforms by using industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)Participate in a high-energy and dynamic company culture to develop state of the art software and hardware products and practice hardware-software co-design.What we need to see:Strong programming skills in C/C++ and/or Python (or similar)Pragmatic approach to solving problems and collaborationExperience in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)Passion for "it just works" automation and enabling team membersThe ability to work independently, define project goals and scope, and lead your own development effort.Pursue BS, MS or PhD in Computer Science, Compute Engineering or similarWays to stand out from the crowd:Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience strongly desiredExperience in optimizing for high performance computing, linear algebra algorithms and parallel implementations.Experience in compiler optimizationsExperience with code coverage and static code analysis toolsThis is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many compute software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning

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