NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s motivated by outstanding technology—and incredible people.
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!
What you will be doing:Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlationWork on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, circuit design and timing etc.Responsible for translating the requirements into a data science problem, architect and build solutions.Test and release of models that integrate with existing machine learning and visualization tools within the organization.Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them.Optimize the models and algorithms until they reach the desired QOR.What we need to see:Pursuing an MS or PhD in Electrical/Computer Engineering, Computer Science, or Applied Mathematics (or related field).Prior academic projects or experience in Applied Math/ML/Software programming.Experience in writing code in Python and C++.Shown knowledge with VLSI circuit design tools and methodologies.Ways to stand out from the crowd:Shown verbal/written communication and technical presentation skills across collaborative teams.Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plus.NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you're creative and autonomous, we want to hear from you!
The hourly rate for our interns is 18 USD - 71 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 Intern benefits. 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.