NVIDIA is looking to tackle challenges no one else can solve, specifically in the areas of AI, digital twins, and accelerated computing, and is seeking interns to help with these efforts
Requirements
- Relational Databases
- Linear Algebra & Numerical Methods
- Operating Systems (memory/resource management)
- Scheduling and Process Control
- Hardware Virtualization
- Distributed Systems
- Data Structures & Algorithms
Responsibilities
- Debugging complex system-level issues using Jenkins
- Supporting overall architecture and design of our cloud storage infrastructure
- Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end
- Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies
- Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging
- Deep Learning, GPU Computing, Accelerated Computing
- Building Infrastructure for Back-End Analytics
Other
- Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
- Must be able to work full-time for 12 weeks
- Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
- Prior experience or knowledge requirements could include relevant coursework or internship experience
- Must be eligible to work in the location of the internship
