Nvidia Applied Machine Learning Engineer Circuit Design - New College Grad 

United States, Texas 

371609202

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.