Description
We are looking for an outstanding build engineer to contribute to the build, testing, packaging and developer experience to accelerate development. This includes projects like the CUDA driver, CUDA toolkit, CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, Legate and cuPyNumeric.
As a Senior Build Engineer, you will be responsible for decomposing and modularizing build processes for reusability across multiple projects, debugging CMake, pip, and conda issues encountered in CI and local builds, working on scripting and infrastructure to manage dependencies across various environments and build systems, bringing up builds and CI across platforms (x86_64/arm64) and OSes (Linux/Windows/Mac) and other unreleased hardware and software, working with engineering leadership to identify the support matrix and manage the scope of the build matrix, and automating scheduled work for all of the above.
To be successful in this role, you will need a Bachelor's Degree in Systems/Software/Computer Engineering, CS or equivalent experience, 8+ years of relevant industry experience or equivalent academic experience after BS, experience working across multiple highly-coupled projects (in Git or another VCS), experience working with C/C++ and Python projects, familiarity with CMake, pip, conda or other tools for C/C++ or Python build and packaging, familiarity with CI/CD systems including Github and Gitlab, understanding of testing principles, knowledge of release management practices, strong analytical, debugging, and problem-solving skills, and familiarity with containerization technologies (e.g. Docker).
If you have background with or compiling for HPC/multi-node environment, experience working with closed-source SW, confidential HW, or large code-bases (100k+ LoC), familiarity with binary library compilation, linking, and distribution, exposure to development across multiple OSes, or have implemented, shipped, and EoL'd a conda package, you will stand out from the crowd.