About the role#
This is a 12-week full-time internship program. You will work on projects that have a direct impact on our business. We review applications on a rolling basis. This position is based on-site in Santa Clara, California.
What you'll do#
- Debug complex system-level issues using Jenkins.
- Support the architecture and design of cloud storage infrastructure.
- Implement and troubleshoot storage and data platform tools while automating storage infrastructure.
- Build technology by proving workflows and infrastructure alongside our engineering teams.
- Enable success for content running on chips through application tracing, analysis, modeling, diagnostics, performance tuning, and debugging.
- Build infrastructure for back-end analytics.
- Work in machine learning operations, including deep learning, GPU computing, and accelerated computing.
What you'll need#
- You must be actively enrolled in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field.
- Include your anticipated graduation date on your resume.
- Coursework or internship experience in areas such as Relational Databases, Linear Algebra, Operating Systems, Distributed Systems, Data Structures, and Algorithms.
- Proficiency or experience with tools and languages such as C++, Python, Java, JavaScript, Go, Unix/Shell Scripting, Linux, Git, and Perforce.
- Experience with infrastructure and container technologies like Kubernetes, Docker, Ansible, and microservices.
- Knowledge of deep learning frameworks and libraries including NumPy, SciPy, cuBLAS, cuDNN, and TensorRT.
Location & details#
- Location: Santa Clara, California
- Modality: On-site
- Compensation: 20 USD to 71 USD per hour, depending on experience, degree level, and location.
- Employment: Full-time paid internship.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
