Scientific Computing Engineer (Machine Learning, AI, Data Systems)

Job title: Scientific Computing Engineer (Machine Learning, AI, Data Systems)

Company: Cadence Design Systems

Job description: 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.

Expected salary: $110600 – 205400 per year

Location: San Jose, CA

Job date: Thu, 24 Oct 2024 03:51:06 GMT

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