Software Intern
Cadence Design SystemsResponsibilities
- Research and develop machine learning approaches for electronic design automation and system-design problems.
- Design, implement, verify, and maintain software for EDA markets.
- Develop deep-learning algorithms, frameworks, applications, and APIs.
- Collaborate productively with worldwide cross-functional teams.
Requirements
- MS in Computer Science or Electrical Engineering and Computer Science.
- Strong software engineering background with emphasis on C/C++, Python, and Linux-based development.
- Experience with machine learning and deep-learning algorithms, including scikit-learn and TensorFlow/Keras.
- Strong communication and collaboration skills.
- Graduate study or work experience with advanced machine learning techniques and algorithms in VLSI CAD is highly desirable.
Benefits
- Paid vacation and paid holidays.
- 401(k) plan with employer match.
- Employee stock purchase plan.
- Medical, dental, and vision plan options.
- Potential bonus, equity, and other incentive compensation.
- California position with an hourly compensation range.
Categories
About Cadence Design Systems
Cadence is a market leader in AI and digital twins, pioneering the application of computational software to accelerate innovation in the engineering design of silicon to systems. Our design solutions, based on Cadence’s Intelligent System Design™ strategy, are essential for the world’s leading semiconductor and systems companies to build their next-generation products from chips to full electromechanical systems that serve a wide range of markets, including hyperscale computing, mobile communications, automotive, aerospace, industrial, life sciences and robotics. In 2024, Cadence was recognized by the Wall Street Journal as one of the world’s top 100 best-managed companies. Cadence solutions offer limitless opportunities—learn more at www.cadence.com.