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Full-Stack Software Engineering Intern, Ai Infrastructure - Winter 2024
Company | NVIDIA |
Address | Santa Clara, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing |
Expires | 2023-09-01 |
Posted at | 9 months ago |
NVIDIA is hiring a Full Stack Software Engineering Intern to work on optimizing developer tooling and web interfaces. Our team is enabling NVIDIA and our customers to easily maintain and debug machine learning models in production reliably and efficiently through easy-to-use visualization of time series data. We are building and optimizing MLOps tooling that enables extensive state-of-the-art systems in Artificial Intelligence at Nvidia and for our customers in many application spaces including robotics and autonomous driving.
- Tackle difficult, and ambitious problems by crafting solutions with any means within the Golang ecosystem
- Deliver rapid iterations of software based on user feedback and metrics
- Collaborate with your peers to craft, develop, test, and maintain integrated applications and features
- Improve day-to-day efficiencies of other developers with usability large-scale visualization
- Active participation in in-car development sessions
- Working closely with AV engineers to build world-class tooling to enable the debugging of cutting-edge machine-learning models
- Build enjoyable interfaces that work to lower developer friction with debuggability
- You believe that taking big risks is the first step to success
- Strong understanding of computer science principles and data science
- Ability to work successfully with multi-functional teams, principals, and architects. Coordinates effectively across organizational boundaries and geographies.
- You are extremely motivated, highly passionate, and curious about new technologies. You take pride in your work and strive to achieve incredible results and possess excellent communication and planning skills.
- Pursuing a BS/MS degree in Computer Science
- Eager to over-deliver and never settle for minimal expectations
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