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'll be doing:
Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation
Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc.
Responsible for translating the requirements into a data science problem, architect and build solutions.
In charge for testing 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:
MS or PhD in Electrical/Computer Engineering (or equivalent experience).
Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is a strict requirement for this role.
Shown ability in writing code in Python and C++.
Experience in Applied Math/ML/Software programming.
Ways to stand out from the crowd:
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a plus.
Working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).
Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus.
Effective verbal/written communication, and technical presentation skills.
Proven continuous learning and sharing findings across the team.
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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
