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 problem-solving 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

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

Highly competitive salaries
Extensive benefits package
Work environment that promotes diversity, inclusion, and flexibility
Equal opportunity employer committed to fostering a supportive and empowering workplace for all