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 machine learning/AI expertise to a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI. The candidate should have a PhD in computer science / applied mathematics / computational physics / electrical engineering and the following preferred skills: + Demonstrated expertise in theory and practice of neural networks / deep learning with working knowledge of contemporary topics (graph neural networks, attention mechanisms, transformer networks, reinforcement and transfer learning, etc.) + Facility with classical methods of statistical inference + Demonstrated ability to reduce algorithms and theoretical knowledge to practice and produce innovative research results + Demonstrated programming proficiency in Python/C++. + Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Julia. + Strong computer science background is a plus. + Familiarity with recent research trends in physics-informed machine learning e.g. physics-informed neural networks, neural operator theory, DeepONets 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. Candidate should expect to work with a cross-functional engineering team to perform cutting-edge research but ultimately deliver innovative technologies in a production environment. We’re doing work that matters. Help us solve what others can’t. Additional Jobs (https://cadence.wd1.myworkdayjobs.com/addl\_jobs) Equal Employment Opportunity Policy: Cadence is committed to equal employment opportunity throughout all levels of the organization. + Read the policy(opens in a new tab) (https://www.cadence.com/content/dam/cadence-www/global/en\_US/documents/company/careers/equal-employment-opportunity-policy.pdf) We welcome your interest in the company and want to make sure our job site is accessible to all. If you experience difficulty using this site or to request a reasonable accommodation, please contact staffing@cadence.com. Privacy Policy: Job Applicant If you are a job seeker creating a profile using our careers website, please see the privacy policy(opens in a new tab) (https://www.cadence.com/en\_US/home/privacy/privacy-policy.html) . E-Verify Cadence participates in the E-Verify program in certain U.S. locations as required by law. Download More Information on E-Verify (64K) (https://www.cadence.com/content/dam/cadence-www/global/en\_US/documents/company/careers/e-verify-participation-poster.pdf) 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 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.