Applied Machine Learning Engineer, Circuit Design - New College Grad 2026
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
Benefits
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- You will also be eligible for equity and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
