Nvidia Senior DevOps Engineer Deep Learning Frameworks 

United States, California 

848612470

What you'll be doing:

• Automating and optimizing build, test, integrate, and release processes for optimized NVIDIA Deep Learning Frameworks

• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Gitlab, Jenkins, Docker, LXC, HyperV, CMake, Bazel)

• Developing shared utilities for setting up systems, running tests, and recording results

• Lead best-practices for building, testing, and releasing software

• Identifying infrastructure needs and translating them into action

What we need to see:

• BS or higher degree in computer science (or equivalent experience)

• 5+ years of relevant experience

• Strong experience setting up, maintaining, and automating continuous integration systems

• Fluency in SCM (e.g. Github, Gitlab, Git) and build systems (e.g. Make, CMake, Bazel, Docker)

• Adept programming skills in Python (or Perl, Shell scripting, like bash,tcsh, sh)

• Pragmatic approach to solving problems and collaboration

• Real passion for “it just works” automation and enabling team members

Ways to stand out from the crowd:

• Experience with CUDA and Deep Learning Software Stack

• Good knowledge of container and cluster technologies like slurm, kubernetes, jenkins, gitlab-ci, and zabbix

• Experience with GPU computing systems

• Track record of identifying useful new technologies and incorporating them into SW development flows

• Experience as an active contributor to a SW project involving many developers