About the role#
This internship focuses on Deep Learning Computer Architecture. You will spend 12 weeks working on projects that have a measurable impact on our business. This is a full-time position.
What you'll do#
- Contribute to projects that directly influence our business operations.
- Gain hands-on experience by working alongside our architecture teams.
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 GPU or CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems.
- Knowledge in performance modeling, profiling, optimization, or analysis.
- Experience with parallel processing, neural network architectures, GPU acceleration, or compiler programming.
- Technical skills in C, C++, Perl, CUDA, GPU computing, deep learning frameworks, or HPC technologies.
Location & details#
- Location: Santa Clara, California.
- Work modality: On-site.
- This is a paid, full-time internship.
- Applications are reviewed on a rolling basis.
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.
