Cadence · 1 day ago
Principal Software Engineer – Circuit Simulation R&D
Cadence is a company that hires and develops leaders and innovators in technology. They are seeking a graduate researcher-practitioner in applied mathematics/statistics to advance algorithms for electronic circuit simulation and optimization, working cross-functionally to translate deep math into production-grade technology.
AerospaceElectronic Design Automation (EDA)HardwareMobileSemiconductorSoftware
Responsibilities
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
Qualification
Required
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
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
Optimization: linear, nonlinear, convex, integer, stochastic, variational; robust/multi-objective; derivative-free/global methods (e.g., CMA-ES, Bayesian optimization)
Numerical analysis: numerical linear algebra (sparse/Krylov/preconditioning), stiff ODE/DAE solvers, approximation, quadrature; model reduction (POD/MOR)
Differential equations: ODE/PDE/SDE, dynamical systems
Probability and statistics: stochastic processes, inference, uncertainty quantification
Data science: statistical learning, optimization for ML, dimensionality reduction
Preferred
Familiarity with Machine Learning (preferred)
Classical ML: regression (linear/logistic), regularization (ridge/lasso), classification (SVM, kNN), ensembles (trees, random forests, boosting)
Contemporary AI (a plus): graph neural networks, transformers, reinforcement/transfer learning, representation learning, active learning
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
Electronic design automation (EDA): SPICE/Spectre/Verilog-A, netlists, PVT/Monte Carlo flows, yield/parametric corners
Benefits
Paid vacation and paid holidays
401(k) plan with employer match
Employee stock purchase plan
A variety of medical, dental and vision plan options
And more
Company
Cadence
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems.
H1B Sponsorship
Cadence has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (306)
2024 (221)
2023 (282)
2022 (330)
2021 (233)
2020 (209)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-20IPO
Leadership Team
Recent News
2026-01-07
2026-01-06
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