Software Engineering Intern, Deep Learning Accelerator - Fall 2025

Details

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

We are searching for an extraordinary Deep Learning Software Intern for an exciting and fun role in our Deep Learning Accelerator (DLA/NPU) team. Our team is responsible for the DLA compiler toolchain stack as well as the end-to-end DLA system sw stack including user mode drivers, kernel mode drivers, and the firmware. DLA supports a growing range of deep-learning use-cases, ranging from self-driving cars, smart embedded systems, video game frameworks, and content creation. You and other specialists on our team will help advance NVIDIA's leadership to tackle real world real-time problems.

Responsibilities

• Design and apply compiler and systems software algorithms aiming at solving concrete problems in the context of deep learning
• Autonomously conduct and lead small research tasks, report, and analyze results
• Design and maintain performance and precision modeling
• Work on testing and improving our software, applying best software practices

Requirements

• Pursuing a BS or MS degree in Computer Science or Computer Engineering or related field.
• Have programming experience with C/C++ and Python
• Completed courses in the area of machine learning, deep learning, probability theory and algorithms
• Experience with deep learning software packages, such as ONNX, PyTorch, and TensorFlow.

Ways to stand out from the crowd

• Designing and implementing drivers programming rich HW acceleration engines and software verification testplans.
• A strong interest in deep learning/AI and are aware of the latest academic developments
• Think analytically, have a drive for neat solutions, master mathematical tools and algorithms, and are skilled in solving numerical problems
• You are an outstanding teammate and have excellent social skills

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!