NVIDIA 2026 Internships: Deep Learning

NVIDIA • Santa Clara, CA

113d • $20 - $71

About The Position

By submitting your resume, you’re expressing interest in one of our 2026 Deep Learning Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business.

Requirements

• Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field.
• Prior experience or knowledge in programming skills and technologies such as C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), React, Go.

Nice To Haves

• Course or internship experience related to Deep Neural Networks, Linear Algebra, Numerical Methods and/or Computer Vision.
• Experience in Software Design, Computer Memory (Disk, Memory, Caches), CPU and GPU Architectures, Networking, Numeric Libraries, Embedded System Design and Development, Drivers, Real-Time Software.
• Course or internship experience related to Computer Architecture (CPUs, GPUs, FPGAs or other accelerators), GPU Programming Models, Performance-Oriented Parallel Programming, Optimizing for High-Performance Computing (HPC), Algorithms, Numerical Methods.

Responsibilities

• Develop algorithms for deep learning, data analytics, or scientific computing to improve performance of GPU implementations.
• Build underlying frameworks and libraries to accelerate Deep Learning on GPUs.
• Contribute directly to software packages such as JAX, PyTorch, and TensorFlow.
• Integrate the latest library features (e.g., cuDNN) or CUDA features, performance tuning, and analysis.
• Optimize core deep learning algorithms and libraries (e.g., CuDNN, CuBLAS).
• Maintain build, test, and distribution infrastructure for deep learning frameworks on NVIDIA supported platforms.

Benefits

• Intern hourly rates range from 20 USD to 71 USD based on position, location, year in school, degree, and experience.
• Eligible for Intern benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees