Scientific Computing Engineer (Machine Learning, AI, Data Systems)
SAN JOSE 10
Full Time USD 110K - 205K
Cadence Design Systems
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. You will be part of a cross-disciplinary R&D team working on the emerging boundary of scientific computing and machine learning/AI, with specific emphasis in the analog electronic circuit analysis area. The candidate should have an advanced degree in computer science / electrical engineering and the following preferred skills:
Experience in software design/development/deployment with application in ML or other data-intensive applications.
Demonstrated programming proficiency in Python and C++.
Experience and demonstrated proficiency with machine learning frameworks such as PyTorch, TensorFlow, Keras.
Strong computer science background is a plus.
Working knowledge of contemporary methods in deep learning/AI (LLMs, graph neural networks, transformer architectures, CNNs, reinforcement and transfer learning, etc.).
Demonstrated ability to reduce algorithms and theoretical knowledge to practice.
Exposure to physics-informed machine learning algorithms e.g. physics-informed neural networks, neural operator methods, is a plus.
Exposure to one or more application areas in scientific computing (computational electromagnetics, fluid dynamics, molecular dynamics, thermal analysis, electrical circuit simulation) 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.
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.
Tags: Architecture Computer Science Deep Learning Engineering Keras LLMs Machine Learning Physics Python PyTorch R R&D Research TensorFlow
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Salary bonus
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