Scientific Computing Engineer
1 month ago
Cadence Design Systems: Pioneering Intelligent System Design
We're seeking a talented Scientific Computing Engineer to join our cross-disciplinary R&D team, where you'll work on the cutting-edge boundary of scientific computing and machine learning/AI. Your expertise will drive innovation in analog electronic circuit analysis.
Key Responsibilities:
- Design, develop, and deploy software solutions for machine learning and data-intensive applications.
- Collaborate with a cross-functional engineering team to deliver innovative technologies in a production environment.
- Stay up-to-date with contemporary methods in deep learning/AI, including LLMs, graph neural networks, and transformer architectures.
- Reduce algorithms and theoretical knowledge to practice, driving real-world impact.
- Pursue cutting-edge research and development in physics-informed machine learning algorithms and scientific computing applications.
Requirements:
- Advanced degree in computer science or electrical engineering.
- 4+ years of experience in software design, development, and deployment with a focus on ML or data-intensive applications.
- Proficiency in Python and C++ programming languages.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, and Keras.
- Strong computer science background and working knowledge of contemporary methods in deep learning/AI.
Join us at Cadence Design Systems, where we're shaping the future of intelligent system design. Help us solve what others can't.
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