NVIDIA

NVIDIA’s data science and AI platforms, like the RAPIDS open source suite of analytics libraries, power modern data science and engineering across the world. The team builds or integrates dozens of tools, collaborating with both commercial partners and the open source community. We are looking for an outstanding senior engineer to play a key role in packaging, automation, and related infrastructure. This role is perfect for an enthusiastic generalist who knows or wants to learn technologies ranging from the guts of Python wheels, Conda packages, and CUDA/C++ libraries on up the stack through Docker and Github Actions. You will have the opportunity to contribute to both open source and enterprise platforms trusted by our largest partners. You will be able to improve deployment on next-generation, pre-release NVIDIA hardware and software platforms and contribute back to help major GPU-accelerated packages fit in well with the open source Python ecosystem. Full job desc is here: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Engineer--Infrastructure--Build--and-Packaging---RAPIDS_JR1970442 Note: this post is just covering one opening from our team in particular, but NVIDIA has hundreds of other open roles here: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite