NVIDIA 2027 Internships: Deep Learning

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.

About the role

Our 12-week full-time internships offer an excellent opportunity to expand your career and get hands-on experience with one of our industry-leading Deep Learning teams. Throughout the internship, students will work on projects that have a measurable impact on our business. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Potential Internships in This Field

• Deep Learning Applications and Algorithms

  Developing algorithms for deep learning, data analytics, or scientific computing to improve performance of GPU implementations.

  Course or internship experience related to the following areas could be required:

  • Deep Neural Networks
  • Linear Algebra
  • Numerical Methods and/or Computer Vision
  • Software Design
  • Computer Memory (Disk, Memory, Caches)
  • CPU and GPU Architectures
  • Networking
  • Numeric Libraries
  • Embedded System Design and Development
  • Drivers
  • Real-Time Software
• Deep Learning Frameworks and Libraries

  Building underlying frameworks and libraries to accelerate Deep Learning on GPUs. Contributing directly to software packages such as JAX, PyTorch, and TensorFlow, integrating the latest library (e.g., cuDNN) or CUDA features, performance tuning, and analysis. Optimizing core deep learning algorithms and libraries (e.g., CuDNN, CuBLAS), maintaining build, test, and distribution infrastructure for these libraries and deep learning frameworks on NVIDIA-supported platforms.

  Course or internship experience related to the following areas could be required:

  • Computer Architecture (CPUs, GPUs, FPGAs or other accelerators)
  • GPU Programming Models
  • Performance-Oriented Parallel Programming
  • Optimizing for High-Performance Computing (HPC)
  • Algorithms
  • Numerical Methods

Requirements

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.
• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
  • 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

Pay

The hourly rate for our interns is 20 USD - 71 USD, based on the position, your location, year in school, degree, and experience.

Benefits

You will also be eligible for intern benefits.