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

3 Months ago • All levels • Artificial Intelligence • Research & Development • Undisclosed

About the job

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.

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About The Company

Yokohama, Kanagawa, Japan (On-Site)

Feldkirchen, Bavaria, Germany (Hybrid)

San Jose, California, United States (On-Site)

Burlington, Massachusetts, United States (On-Site)

San Jose, California, United States (On-Site)

San Jose, California, United States (On-Site)

Bengaluru, Karnataka, India (On-Site)

Bengaluru, Karnataka, India (On-Site)

Shanghai, Shanghai, China (On-Site)

Hsinchu, Hsinchu City, Taiwan (On-Site)

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