Applied Machine Learning Engineer, Circuit Design - New College Grad 2026

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!