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.

• 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

• 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.