Job Description

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 e...

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