Software Engineer for SPICE (math)

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Job Description

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.

Responsibilities

Design and implement mathematical algorithms for simulation, modeling, and statistical analysis

Apply probabilistic theory to improve accuracy and convergence of simulation engines

Develop numerical methods for large‑scale computation and optimization

Collaborate with software engineers and domain experts to integrate mathematical models into production systems

Build scripts and tools to support internal R&D processes

Validate algorithmic correctness through experiments, benchmarks, and data analysis

Requirements

Strong foundation in applied mathematics, probability theory, and numerical methods

Proficiency in Python and C++

Experience with scientific computing libraries or frameworks is a plus

Familiarity with Linux/Unix development environments

MS in Applied Mathematics, Statistics, Computer Science, Electrical Engineering, or related fields

Strong analytical thinking and ability to translate mathematical concepts into practical software solutions

Good communication skills and ability to work effectively in a collaborative environment

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