NVIDIA is looking to solve problems related to Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation by leveraging data science and machine learning.
Requirements
- Experience with VLSI, Circuit Design, CMOS Device Physics, Timing, ASIC, EDA is a strict requirement for this role
- Experience in Applied Math/ML/Software programming with proven ability in writing code in Python and C++ is required
- Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus
- Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a plus
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.
Other
- Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
- Effective verbal/written communication, and technical presentation skills
- Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team
- If you're creative and autonomous, we want to hear from you!
