Job Description
NVIDIA's Deep Learning Optimized Frameworks Group is looking for an excellent DevOps Engineer to enable the next wave of NVIDIA?s highest performing deep learning software stacks. Your role spans multiple products such as TensorFlow and PyTorch and is instrumental for streamlining development, build, and releases with modern DevOps tools. Join our technically hardworking team of software engineers and infrastructure authorities to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning frameworks.
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
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
