Senior DevOps Engineer, Deep Learning Frameworks

Requirements:

• 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

Nice to Haves:

• 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

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

Perks and Benefits:

• Highly competitive salaries
• Extensive benefits package
• Work environment that promotes diversity, inclusion, and flexibility