Senior Infrastructure Software Engineer, Deep Learning Libraries

NVIDIA's Deep Learning Libraries Group is seeking a Senior Infrastructure Software Engineer to drive the development of their highest performing deep learning libraries, including cuDNN and TensorRT. This role focuses on designing and developing scalable, modular infrastructure that streamlines development, build, and test processes across NVIDIA's diverse platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models.

The position offers an opportunity to work with a technically diverse team of software engineers and infrastructure experts, designing systems that keep NVIDIA at the forefront of deep learning platforms. You'll be responsible for building and maintaining critical infrastructure that enables rapid development and deployment of NVIDIA's deep learning solutions.

The ideal candidate will combine strong programming skills in Python and C/C++ with extensive experience in continuous integration systems, build automation, and distributed systems. This role provides an excellent opportunity to impact NVIDIA's development velocity across numerous compute software projects, working with cutting-edge technology in AI and deep learning.

Working in a hybrid environment, you'll collaborate with teams across NVIDIA to improve and maintain the infrastructure supporting their deep learning libraries. The position offers competitive compensation, including a base salary range of $148,000 - $287,500 USD, plus equity and comprehensive benefits. Join NVIDIA in their mission to transform industries through accelerated computing and AI technology.