Senior DevOps Engineer, Deep Learning Frameworks

NVIDIA's Deep Learning Optimized Frameworks Group is seeking a Senior DevOps Engineer to drive the development of their highest performing deep learning software stacks. This role is crucial in streamlining development, build, and releases for products like TensorFlow and PyTorch using modern DevOps tools. As part of NVIDIA's technically advanced team, you'll be instrumental in designing systems that maintain NVIDIA's competitive edge in delivering the world's fastest deep learning frameworks.

The position offers an opportunity to work with cutting-edge technologies in AI and deep learning, while automating and optimizing critical build and release processes. You'll be responsible for configuring and maintaining industry-standard tools, developing shared utilities, and leading best practices for software development workflows.

The ideal candidate brings strong experience in continuous integration systems, SCM tools, and build systems, along with excellent Python programming skills. Experience with CUDA, GPU computing systems, and deep learning software stacks would be particularly valuable. NVIDIA offers highly competitive compensation, including a base salary range of $148,000-$287,500, plus equity and comprehensive benefits.

Working at NVIDIA means joining one of technology's most desirable employers, known for its forward-thinking approach and exceptional engineering teams. The company is experiencing unprecedented growth and offers an environment where creative, autonomous engineers can thrive while working on some of the most advanced technology solutions in the industry.