Scientific Computing Engineer (Machine Learning, AI, Photonics)

Port Moody 01 (Vancouver)

Cadence Design Systems

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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. The candidate should have an advanced degree in computer science / electrical engineering and the following preferred skills:  

  • Working knowledge of contemporary methods in deep learning/AI (LLMs, graph neural networks, transformer architectures, CNNs, reinforcement learning, representation learning, transfer learning, etc.)

  • Demonstrated programming proficiency in Python and C++

  • Experience and demonstrated proficiency with machine learning frameworks such as PyTorch and TensorFlow

  • Demonstrated ability to reduce algorithms and theoretical knowledge to practice

  • Experience in physical-level scientific computation (computational electromagnetics, thermal analysis, electrical circuit simulation, photonic systems) is a plus

  • Knowledge of statistical inference techniques (significance testing, Monte Carlo methods, random sampling, density estimation, design of experiments, Bayesian statistics) 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

  • Past experience with optimization algorithms 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 British Columbia is 87,500 CAD to 162,500 CAD. 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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Tags: Architecture Bayesian CAD Computer Science Deep Learning Engineering LLMs Machine Learning Monte Carlo Physics Python PyTorch R R&D Reinforcement Learning Research Statistics TensorFlow Testing

Perks/benefits: 401(k) matching Career development Competitive pay Equity Health care Salary bonus

Region: North America
Country: Canada
Job stats:  14  2  1

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