Software Engineering Intern, CUDA Build and Packaging… at NVIDIA · US

Summary: NVIDIA is a leader in visual computing and AI computing, known for pioneering the GPU technology. They are looking for outstanding interns to contribute to the build, testing, packaging, and developer experience of their CUDA Core Libraries, which are essential for GPU-accelerated software development. Responsibilities: - Decomposing and modularizing build processes for reusability across multiple projects - Partnering with the engineering teams to ensure their code can be built and deployed across Conda and PyPi ecosystems on Linux and Windows - Developing robust and modern approaches to packaging compiled code, Python wrappers and their dependencies to get CUDA-enabled packages into the hands of users - Designing CI pipelines that enable rapid build and testing of new code to improve development velocity and intelligently sample architecture, OS and GPU coverage - Collaborating with expert CUDA engineers; participate in design reviews, code reviews, and open-source-style workflows Required Qualifications: - Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related field - Experience with build systems such as CMake, scikit-build-core along with packaging in Conda and/or PyPi - Familiarity with CI/CD systems including GitHub, GitLab or other related platforms along with the use of Docker images to facilitate workflows - Familiarity with debugging the output of build systems and compilers to resolve issues in complex build environments that involve modern C++, CUDA and/or Python libraries - Experience with software libraries or open-source projects, including testing, performance profiling, and code reviews - Ability to work independently and drive a project from exploration to completion - Clear written communication for design discussions and documentation Preferred Qualifications: - Knowledge of CPU/GPU architecture and how hardware details impact algorithmic performance - Familiarity with binary library compilation, linking, packaging, distribution, ABI compatibility and deployment strategies on Linux and/or Windows - Familiarity with compiler infrastructure and tooling such as LLVM, Clang/LLVM tooling, or MLIR - Comfort navigating and debugging large, multi-language codebases (C++, Python, CMake, GitHub Actions CI systems) - Demonstrates interest in developer tools, library design, developer experience and making other developers faster and more productive Required Skills: C++, Python, CUDA, CMake Important Skills: CI/CD, Docker, Conda, PyPi Nice-to-Have Skills: Independent work Internship Start Date: Start in 2026 Summer Benefits: Intern benefits