Synopsys is hiring for the position of Software Development Internship in 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 | Software Development Internship |
Qualifications | BE/ B.Tech/ M.Tech |
Batch | Final Year or Recent Graduate |
Experience | Freshers |
Location | Noida, India |
Key Responsibilities:
- Must be a final-year student or a recent graduate with a BE/B.Tech in Computer Science or a related field.
- Design, develop, and enhance verification technology to improve its efficiency and effectiveness.
- Support and maintain existing functionality while continuously working to optimize versatility, performance, and memory utilization to improve software quality.
- Develop robust and efficient implementations by applying algorithm and data structure design principles.
- Collaborate with Synopsys R&D teams and customers to understand customer needs and align product development with business goals.
Eligibility Criteria:
- Final-year student pursuing B.Tech or M.Tech.
- Proficiency in software development using C/C++ on UNIX/Linux platforms.
- Strong understanding of data structures, algorithms, and their applications.
- Highly motivated with a strong willingness to learn and explore new technologies.
- Excellent analytical, debugging, and problem-solving skills.
- Ability to work independently as well as collaboratively in a team environment.
- Strong written and verbal communication skills for effective team collaboration and product presentations.
Preferred Skills:
- Knowledge of digital electronics fundamentals.
- Understanding of formal verification and/or synthesis techniques.
- Familiarity with compilers and RTL synthesis is an added advantage.
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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