By submitting your resume, you’re expressing interest in one of our 2024 NVIDIA Artificial Intelligence Engineering internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internships. 

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Artificial Intelligence 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 internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing a Bachelor’s, Master’s, or PhD degree within a relevant or related field.

Potential Internships in this field included (but not limited to):   

• Deep Learning Applications and Algorithms

  • Developing algorithms for deep learning, data analytics, machine learning, or scientific computing, and analyzing and improving performance of GPU implementations

• Autonomous Vehicles

  • Developing and training state-of-the-art Deep Neural Networks for path generation

  • Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests

• Robotics

  • Playing a key role in helping us build the fundamental infrastructure and software platforms of our system by reviewing code and working at the very heart of the software system which will power every robot and application built with Isaac

• Deep Learning Frameworks and Libraries

  • 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

  • Developing and 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

• Machine Learning

  • Working to build and maintain the first generation MLaaS (ML as a Service) Platform including data ingestion, data indexing, data labeling, visualization, dashboards, data viewers

  • Providing capability to use and fine-tune the latest state-of-the-art Machine Learning and Deep Learning models depending on the use-cases

• Applied Research

• Developing and prototyping new deep learning algorithms and models for foundation model tuning or for neural machine translation

• Contributing to open-source projects such as NVIDIA NeMo generative AI framework with the possibility of publishing your internship project results

• Applied Research Areas could include: Large Language Models (LLM), Deep Learning Theory and Applications to Natural Language Processing (NLP), Computer Vision, Graphics, Speech, Reinforcement Learning, or another relevant domains

What we need to see:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree within a relevant or related field

• Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: Python, C, C++, PyTorch, JAX, TensorFlow, TensorRT, Keras, Linux, ROS, Docker, OpenGL, CPU, GPU, FPGA, PERL, and/or Computer Vision

Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.

The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Internbenefits. NVIDIA accepts applications on an ongoing basis.​

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.