Scientific Computing Engineer

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.- 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
- 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._

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