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 Cadences simulation and analysis tools. The engineer will work on numerical methods stochastic modeling statistical analysis and algorithmic innovations that support nextgeneration 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 largescale 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
Were doing work that matters. Help us solve what others cant.
Required Experience:
IC
At Cadence we hire and develop leaders and innovators who want to make an impact on the world of technology.Job DescriptionThis role centers on developing mathematical and probabilistic algorithms that enhance the accuracy robustness and performance of Cadences simulation and analysis tools. The eng...
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 Cadences simulation and analysis tools. The engineer will work on numerical methods stochastic modeling statistical analysis and algorithmic innovations that support nextgeneration 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 largescale 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
Were doing work that matters. Help us solve what others cant.
Required Experience:
IC
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