Nvidia Deep Learning Software Intern Autonomous Vehicles - Fall 

United States, California 

18349661

What you will be doing:

• Develop deep learning models using NVIDIA's SDK for high-performance inference

• Optimize DNN performance such as accuracy, latency, memory traffic, etc.

• Use C++, Python and CUDA to build graph parsers, converters, compiler, and tools for effective deployment of trained deep learning models.

• Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like autonomous driving, NLP, and computer vision.

What we need to see:

• Pursuing a MS or PhD in Computer Science, Electrical Engineering or related field

• Knowledge of software development or Machine learning or high-performance computing

• Experience in developing or using deep learning frameworks (e.g., PyTorch, JAX, TensorFlow, or ONNX, etc.)

• Strong C++ programming skills including debugging, performance analysis, test design, and optimizations.

Ways to stand out from the crowd:

• Familiarity with sophisticated C++11/C++14 language features and CUDA kernel programming.

• Experience working in an open-source and software development on Windows.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

You will also be eligible for Intern