This role centers on developing mathematical and probabilistic algorithms that enhance the accuracy, robustness, and performance of Cadence’s simulation and analysis tools
Job Summary
This role centers on developing mathematical and probabilistic algorithms that enhance the accuracy, robustness, and performance of Cadence’s simulation and analysis tools.
The engineer will work on numerical methods, stochastic modeling, statistical analysis, and algorithmic innovations that support next‑generation EDA technologies.
The position also includes building internal tools to streamline research and development workflows.
Matching Summary
This role centers on developing mathematical and probabilistic algorithms that enhance the accuracy, robustness, and performance of Cadence’s simulation and analysis tools.
Skills & Requirements
Must-have
applied mathematics
probability theory
numerical methods
Python
C++
Linux/Unix development environments
Nice-to-have
scientific computing libraries
analytical thinking
translate mathematical concepts
collaborative environment
communication skills
Key Requirements
MS in Applied Mathematics, Statistics, Computer Science, Electrical Engineering, or related fields