Cadence Design Systems

Develops EDA software, IP, verification tools

Software Engineer for SPICE - Math

Software EngineeringConfirmed live in the last 24 hours

Full-timeBeijing, ChinaNo salary listedIn-person

About the Job

Requirements

A strong foundation in applied mathematics, probability theory, and numerical methods is required.
Proficiency in Python and C++ is required.
Familiarity with Linux/Unix development environments is required.
An MS in Applied Mathematics, Statistics, Computer Science, Electrical Engineering, or a related field is required.
The candidate must be able to translate mathematical concepts into practical software solutions.

Responsibilities

Design and implement mathematical algorithms for simulation, modeling, and statistical analysis.
Apply probabilistic theory to improve the 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 research and development processes.
Validate algorithmic correctness through experiments, benchmarks, and data analysis.

Desired Qualifications

Experience with scientific computing libraries or frameworks is a plus.

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

We’re doing work that matters. Help us solve what others can’t.

About the Company

Cadence Design Systems

Develops EDA software, IP, verification tools

Cadence Design Systems supplies software, hardware, and IP for electronic design automation (EDA) to help customers create advanced semiconductor chips and electronic systems. Its tools handle system design, verification, digital and analog IC design, and custom flows, while IP such as Tensilica processors and DSP cores can be licensed for integration into customer products. The offerings are delivered as software licenses with maintenance and support, plus IP licensing and occasional hardware-accelerated options. The company differentiates itself with a broad, end-to-end EDA portfolio and close collaboration with industry leaders to streamline the path from concept to silicon, aiming to help customers bring sophisticated silicon and electronics to market faster with lower risk and higher productivity.

Company size: 10,001+
Company stage: IPO
Headquarters: San Jose, CA
Founded: 1988

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