About the role#
NVIDIA is looking for interns to join our Deep Learning teams for a 12-week full-time program. You will work on projects that contribute to our business, ranging from algorithm development to framework optimization. We review applications on an ongoing basis for these roles.
What you'll do#
- Develop algorithms for deep learning, data analytics, and scientific computing.
- Improve the performance of GPU implementations.
- Build underlying frameworks and libraries to accelerate deep learning on GPUs.
- Contribute to software packages like JAX, PyTorch, and TensorFlow.
- Integrate library features such as cuDNN or CUDA.
- Perform performance tuning and analysis.
- Optimize core deep learning algorithms and libraries.
- Maintain build, test, and distribution infrastructure.
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.
- You must be enrolled for the full duration of the internship.
- Your resume or CV must clearly indicate your anticipated graduation date.
- Course or internship experience in Deep Neural Networks, Linear Algebra, Numerical Methods, and Computer Vision.
- Knowledge of Software Design, Computer Memory, and CPU or GPU Architectures.
- Experience with Networking, Numeric Libraries, Embedded System Design, Drivers, and Real-Time Software.
- Background in Computer Architecture, GPU Programming Models, and performance-oriented parallel programming.
- Experience optimizing for High-Performance Computing.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Employment: Full-time.
- Term: Rolling applications.
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.
