Research, design, and validate algorithms for circuit simulation, rare-event estimation, and optimization.
Quantify accuracy/speed vs. baselines; perform rigorous statistical analyses.
Build robust, maintainable implementations and integrate with production toolchains.
Good Team Player as well as collaborate with cross-functional teams and document methods and results clearly.
We're doing work that matters. Help us solve what others can't.
Requirements
Graduate degree in applied mathematics, statistics, or a closely related field (CS with strong math focus).
Demonstrated ability to conduct literature reviews, translate theory to practice, and deliver innovative results in real-world settings.
Core Expertise
Statistical inference: significance testing (p-values, confidence intervals), Bayesian statistics, design of experiments, Monte Carlo methods (random sampling, density estimation).
Rare-event and reliability analysis (a plus): importance sampling, subset simulation, cross-entropy methods, extreme value/tail modeling, yield estimation.
Surrogate modeling and Uncertainty Quantification (a plus): Gaussian processes, polynomial chaos, sparse grids, variance reduction.
Applied Mathematics (any of the following is a plus)
Contemporary AI (a plus): graph neural networks, transformers, reinforcement/transfer learning, representation learning, active learning.
Software and Systems (Not needed but any of the following is a plus)
Programming proficiency in Python and/or C++ is a plus (NumPy/SciPy, PyTorch/JAX, performance optimization, clean APIs).
Strong computer science background is a plus (data structures, algorithms, version control, testing, CI/CD).
HPC/parallel computing (a plus): MPI, CUDA, distributed workflows.
Any prior Experience in the following areas is a plus
Scientific computing in one or more areas: computational electromagnetics, fluid/thermal/molecular dynamics, computational physics, or electrical circuit simulation.
Dental insuranceVision insurance401(k)Paid time offEquity / stock optionsPerformance bonus
Additional Information
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
We seek a graduate researcher-practitioner in applied mathematics/statistics to advance algorithms for electronic circuit simulation, Monte Carlo yield analysis, and optimization. You will work cross-functionally to turn deep math into production-grade technology.
Cadence · San Jose