Synopsys is hiring for the position of Software Engineering Intern in Hyderabad, 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 | Software Engineering Intern |
Qualifications | Bachelor’s/ Master’s Degree |
Batch | 2024/ 2025/ 2026/ 2027 |
Experience | Freshers |
Location | Hyderabad, India |
Key Responsibilities:
- Develop and test software applications using programming languages such as C, C++, and Python.
- Collaborate with cross-functional teams to design and implement efficient algorithms and data structures.
- Assist in the administration, configuration, and maintenance of Linux and Windows operating systems.
- Participate in code reviews and contribute constructive feedback to improve code quality and performance.
- Troubleshoot and resolve complex technical issues through debugging and analytical problem-solving.
Eligibility Criteria:
- Currently pursuing a Bachelor’s or Master’s degree in Engineering, preferably in Computer Science.
- Proficient in programming languages such as C, C++, and Python.
- Solid understanding of algorithms and data structures.
- Basic knowledge of system administration for both Linux and Windows operating systems.
- Strong analytical and problem-solving skills.
- Proficient in both verbal and written English communication.
- Good to Have:
Preferred Skills:
- Understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts.
- Familiarity with Streamlit for creating interactive data applications.
- Experience with tools such as GitLab CI/CD, Jenkins, and Jira.
- Basic understanding of the software development lifecycle and processes.
- Knowledge of web application development and integration using technologies like REST, SOAP, and JSON.
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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