About the role#
This internship offers hands-on experience working with Deep Learning Computer Architecture teams. You will work on projects that have a measurable impact on our business throughout a 12-week full-time program. We review applications on an ongoing basis.
What you'll do#
- Contribute to performance modeling, profiling, optimization, and analysis.
- Engage in projects related to Neural Network Architectures and GPU Acceleration.
- Collaborate with teams tackling complex technical challenges.
What you'll need#
- Active enrollment in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field.
- Your resume or CV must clearly indicate your anticipated graduation date.
- Experience in GPU or CPU architecture, deep learning, GPU computing, or parallel programming.
- Knowledge of programming languages such as C, C++, or Perl.
- Familiarity with CUDA and deep learning frameworks like PyTorch, TensorFlow, or Caffe.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Duration: 12 weeks, full-time.
- Compensation: Paid position with an hourly rate between 20 USD and 71 USD, depending on experience and education level.
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.
