Senior Deep Learning Tools Developer
About The Position
We are now looking for a Senior Deep Learning Tools Developer! Groundbreaking research relies on innovative infrastructure and tools! The NVIDIA Applied Deep Learning Research group is a team of world-class researchers in deep learning. We are passionate about deep learning applied to computer vision, audio, text and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, we work with product teams to integrate these ideas into products and make the research count. Our research projects require an intense amount of computation, relying on supercomputers and pushing them to their limits. The challenges are ever evolving, and require the infrastructure and tools to continuously evolve and step up to the challenge. These tools are part of the secret sauce enabling the research to evolve. In this position, you will develop and maintain tools that interact with various supercomputers and clusters of compute resources, as well as deep learning workflows.
Requirements
- Bachelors in Computer Science or Computer Engineering or equivalent experience.
- 5+ years of relevant work experience
- Experience doing development in Python
- Experience with unix and shell scripting
- Good interpersonal skills
- Flexibility for working in an evolving environment with different frameworks and requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Ability to learn quickly and adapt to different platforms as per the need of the project.
- Passionate about solving hard problems, developing quality solutions/code
- Passionate about improving efficiency and productivity
Nice To Haves
- Experience with linux system administration
- Experience (as user or administrator) with HPC schedulers such as SLURM, LSF
- Background with deploying and/or using containers (docker or otherwise)
- Familiarity with the basics of deep learning
- Experience developing tools used by others, and maintaining them
Responsibilities
- Develop and maintain tools that help with execution and monitoring of deep learning workflows in various supercomputers
- Craft solutions to new problems arising from new needs of research projects, or new compute environments they leverage
- Collaborate with some of the industries’ leading experts in Supercomputers and Deep Learning research.
Benefits
- You will also be eligible for equity and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
