Scientific Computing Engineer (Machine Learning, AI, Photonics)
Port Moody 01 (Vancouver)
Applications have closed
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. 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.
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 / stock options Health care Salary bonus
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