Synopsys is hiring for the position of Intern (Technical Engineering) in Hyderabad; Noida, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Synopsys |
| Position | Intern (Technical Engineering) |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | Recent Batches |
| Experience | Freshers |
| Location | Hyderabad; Noida, India |
Key Responsibilities:
- Learn, develop, troubleshoot, and debug design environments and workflows used in integrated circuit development.
- Provide support to a global design team, addressing Common CAD Setup issues, interfacing with foundries, and configuring Common CAD Setup for IP project environments and design workflows.
- Develop routines and utility programs to perform quality assurance on Common CAD Setup.
Eligibility Criteria:
- Currently pursuing a BS/MS in Electrical Engineering, Computer Science, or a related field.
- Hold a relevant degree in Electronic Engineering, Microelectronic Engineering, or VLSI.
- Demonstrate a strong understanding of hardware integrated circuits.
- Possess user knowledge of UNIX/Linux operating systems.
- Proficient in at least one programming language.
- Skilled in scripting languages to automate processes.
- Have strong English communication skills.
- Eager to learn and explore new technologies, with demonstrated investigative and problem-solving abilities.
- Able to exercise sound judgment within established procedures to determine appropriate actions.
Requirements:
- Hands-on experience with Python, TCL, or Shell scripting.
- Good understanding of the VLSI domain, including familiarity with DRC/LVS, extraction, simulation, and reliability analysis.
- Experience with EDA tools like Cadence and Custom Designer.
About Company:
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.
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