המקום בו המומחים והחברות הטובות ביותר נפגשים
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
משרות נוספות שיכולות לעניין אותך