CAD Automation Intern

Job Description and Requirements

Synopsys technology is at the heart of innovations that are changing the way we live and work. The Internet of Things. Autonomous cars. Wearables. Smart medical devices. Secure financial services. Machine learning and computer vision. These breakthroughs are ushering in the era of Smart, Secure Everything―where devices are getting smarter, everything’s connected, and everything must be secure.

Powering this new era of technology are advanced silicon chips, which are made even smarter by the remarkable software that drives them. Synopsys is at the forefront of Smart, Secure Everything with the world’s most advanced tools for silicon chip design, verification, IP integration, and application security testing. Our technology helps customers innovate from Silicon to Software, so they can deliver Smart, Secure Everything.

The broad DesignWare IP portfolio includes logic libraries, embedded memories, embedded test, analog IP, interface IP, security IP, embedded processors, and subsystems. To accelerate prototyping, software development and integration of IP into SoCs, Synopsys’ IP Accelerated initiative offers IP Prototyping Kits and IP subsystems. Our extensive investment in IP quality, comprehensive technical support and robust IP development methodology enables designers to reduce integration risk and accelerate time-to-market.

This internship with be with our Solutions IP group.

What you will learn:
Working closely with a dynamic and experienced CAD team: assist in the automation and testing of various design flows and design processes, integrate various scripts into the main engineering environment, develop web-based documentation/manuals, and create usage specifications.
Intern will learn the CAD infrastructure and setups of the design environment, deep dive into automation process of various complex flows, understand the debug processes and methods, and have hands-on testing/qa/automation experience.

Skill Requirements:
• Experience in scripting languages, preferably python
• Experience in developing web front-ends with HTML, CSS, and JavaScript
• Background and experience in machine leaning/ data mining algorithms
• UNIX/Linux user knowledge
• Familiarity with EDA simulation and verification tools such as HSPICE, ICV.

Education Requirements:
Currently pursuing BA/BS or master’s in computer science/Electrical Engineering degree