Computational Systems Engineer
2 weeks ago
Join Cadence Design Systems, a leader in computational software for intelligent system design, where we foster innovation and leadership in technology.
As a member of our interdisciplinary R&D team, you will explore the intersection of scientific computing and machine learning/AI, particularly focusing on analog electronic circuit analysis.
Qualifications:
- Advanced degree in computer science or electrical engineering.
- Over 4 years of experience in software design, development, and deployment for data-intensive applications, including machine learning.
- Proficiency in Python and C++.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, and Keras.
- A strong foundation in computer science is advantageous.
Key Responsibilities:
- Utilize contemporary methods in deep learning and AI, including LLMs, graph neural networks, and transformer architectures.
- Translate theoretical algorithms into practical applications.
- Engage with physics-informed machine learning algorithms, such as physics-informed neural networks and neural operator methods.
- Explore various application areas in scientific computing, including computational electromagnetics, fluid dynamics, and thermal analysis.
As part of a cross-functional engineering team, you will conduct pioneering research and deliver innovative technologies in a production setting.
Compensation: The annual salary range for California is between $150,500 and $279,500. Additional incentive compensation may include bonuses, equity, and benefits.
Benefits: Our comprehensive benefits package includes paid vacation, a 401(k) plan with employer match, an employee stock purchase plan, and various medical, dental, and vision plan options.
At Cadence, we are dedicated to solving the world's most challenging technical problems and creating a diverse and inclusive workplace.
We are proud to be an equal opportunity employer, ensuring that all qualified applicants receive consideration for employment without regard to race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, disability, or any other protected class.
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