10 days ago
Santa Clara, CA, USAIntern
H1B sponsor
Responsibilities
- Debug complex system-level issues using Jenkins.
- Support the architecture and design of cloud storage infrastructure.
- Implement and troubleshoot storage and data platform tools and automate storage infrastructure end to end.
- Build production software development and chip design workflows and infrastructure.
- Enable application tracing, analysis, modeling, diagnostics, performance tuning, and debugging for content running on NVIDIA chips.
- Develop and support deep learning validation, training acceleration, real-time inference, and back-end analytics infrastructure.
Requirements
- Be actively enrolled in a university for the full internship while pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
- Clearly indicate the anticipated graduation month and year on the resume or CV.
- Depending on the internship, prior experience or knowledge may include Java, JavaScript, SQL, C, C++, CUDA, Go, Python, Git, Perforce, Kubernetes, schedulers, Docker, and Ansible.
- Relevant coursework or internship experience may include relational databases, linear algebra and numerical methods, operating systems, distributed systems, data structures and algorithms, virtualization, automation and scripting, debugging, GPU computing, and deep learning.
Benefits
- 12-week, full-time internship.
- Intern benefits are provided.
- Expected hourly pay is $20-$71 USD, based on position, location, year in school, degree, and experience.
- Applications are accepted on an ongoing basis.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.