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Cadence Design Systems, Inc. Circuit Analysis Engineer (Statistical Inference, Machine Learning/AI) in San Jose, California

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Cadence Design Systems is a world leader in providing computational software for all aspects of intelligent system design. Your role will be to bring expertise in statistical inference to a cross-disciplinary R&D team working on the boundary of statistical analysis, electronic design automation, and machine learning/AI. The candidate should have a PhD in computer science / applied mathematics or closely related field and the following preferred skills:

  • Demonstrated expertise in statistical inference : significance testing (p-value, confidence intervals), Monte Carlo methods (random sampling, density estimation), design of experiments, Bayesian statistics, variational Bayes.

  • Facility with classical methods of machine learning: regression (linear, logistic), regularization (ridge, lasso), classification (SVM, k-nearest neighbors), ensemble methods (decision trees, random forests, boosting, gradient boosting).

  • Familiarity with contemporary techniques in AI/deep learning is a plus (graph neural networks, transformer architectures, reinforcement and transfer learning, representation learning, etc.).

  • Demonstrated ability to reduce algorithms and theoretical knowledge to practice and produce innovative research results.

  • Demonstrated programming proficiency in Python/C++.

  • Strong computer science background is a plus.

  • Exposure to one or more application areas in scientific computing (computational electromagnetics, fluid dynamics, molecular dynamics, thermal analysis, electrical circuit simulation) and/or computational physics is a plus.

  • Exposure to electronic circuit design automation problems is a plus.

Candidate should expect to work with a cross-functional engineering team in to perform cutting-edge research but ultimately deliver innovative technologies in a production environment.

The annual salary range for California is $110,600 to $205,400. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: 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.

We’re doing work that matters. Help us solve what others can’t.

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Cadence plays a critical role in creating the technologies that modern life depends on. We are a global electronic design automation company, providing software, hardware, and intellectual property to design advanced semiconductor chips that enable our customers create revolutionary products and experiences.

Thanks to the outstanding caliber of the Cadence team and the empowering culture that we have cultivated for over 25 years, Cadence continues to be recognized by Fortune Magazine as one of the 100 Best Companies to Work For. 
Our shared passion for solving the world’s toughest technical challenges, our dedication to pushing the limits of the industry, and our drive to do meaningful work differentiates the people of Cadence.

Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

Cadence is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, basis of disability, or any other protected class.

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