NVIDIA 2027 Internships: Deep Learning
Core
12-week full-time internship developing deep learning algorithms, frameworks, and libraries to accelerate performance on GPUs for NVIDIA's AI and digital twins products.
Role type
Deep Learning Intern (IC)
Builds
Deep learning frameworks, libraries, and GPU-accelerated algorithms
Domain
Artificial Intelligence / High-Performance Computing / GPU Architecture
Deliverable
production ML models
Required skills
C, C++, CUDA, Python, Linux, GPU Programming, Deep Neural Networks, Linear Algebra, Computer Vision, Performance-Oriented Parallel Programming
Preferred skills
Experience with JAX, PyTorch, TensorFlow, cuDNN, CUDA, Docker, Kubernetes, AWS, Azure, GCP
Technologies
CUDA, PyTorch, TensorFlow, JAX, cuDNN, Docker, Kubernetes, AWS, Azure, GCP, Linux, C++, Python
Responsibilities
Developing algorithms for deep learning, data analytics, or scientific computing to improve GPU performance; Building underlying frameworks and libraries to accelerate Deep Learning on GPUs; Optimizing core deep learning algorithms and libraries; Contributing to software packages and maintaining build/test infrastructure
Seniority
Intern
