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Devops Engineer, Ai Toolkits
Company | NVIDIA |
Address | California, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing |
Expires | 2023-07-22 |
Posted at | 10 months ago |
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. NVIDIA is hiring an excellent DevOps Engineer to work on our NeMo, NeMo Service and Riva teams. Our teams create building blocks to make generative AI easy to develop, integrate, and deploy. Your role is multifaceted: streamlining development, build, and releases with modern DevOps tools as well as maintaining cloud deployment infrastructure for our hosted services.
- Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. GitHub, Gitlab, Docker, Jenkins, etc.)
- Lead best-practices for building, testing, and releasing software
- Designing continuous integration, verification and deployment strategy for NeMo toolkit, service and corresponding pre-trained models
- Automating and optimizing build, test, integrate, and release processes for various models supported in NeMo and NeMo Service
- Identifying and plan for infrastructure needs and translating them into action
- Fluency in Git and GitHub/GitLab
- BS or higher degree in computer science (or equivalent experience)
- Strong experience setting up, maintaining, and automating continuous integration systems
- 3+ years of relevant experience
- Adept programming skills in Python and PyTorch or Tensorflow
- Real passion for multiplying productivity of others
- Pragmatic approach to solving problems and collaboration
- Deep learning expertise
- Contribution to open-source software
- Deep knowledge of container and cluster technologies like Docker, slurm, kubernetes, and zabbix
- Experience with GPU computing systems
- Track record of identifying useful new technologies and incorporating them into SW development flows
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