Software Engineering Internship

Category Interns/Temp Hire Type Intern Job ID 17382 Remote Eligible No Date Posted 05/11/2026

We Are:

Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.

Internship Experience:

At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide—and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!

Mission Statement:

Our mission is to fuel today's innovations and spark tomorrow's creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive—both at work and beyond.

What You'll Be Doing:

As an intern on our team, you'll work on cutting-edge AI and NLP technologies to automate ontology learning and requirements formalization. Your contributions will directly impact how we model complex systems and domains:

• Extract concepts and relationships from both unstructured and structured data sources using advanced AI/NLP techniques

• Build ontologies and metamodels that support system and domain modeling, as well as requirements engineering processes

• Develop and curate datasets to train and validate machine learning models for knowledge extraction

• Apply state-of-the-art NLP, Machine Learning, and Multi-Agent AI techniques to solve complex knowledge representation challenges

• Represent extracted knowledge using industry-standard ontology and knowledge graph formats

• Document your findings, prototypes, and methodologies to share insights with the broader team and contribute to ongoing research

What You'll Need:

We're looking for curious, motivated students who are passionate about AI, natural language processing, and knowledge representation:

• Currently pursuing a bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Software Engineering, or a related field

• Strong programming skills in Python with experience in developing AI/ML applications

• Proficiency in Machine Learning, Natural Language Processing (NLP), and/or Multi-Agent Systems

• Knowledge of ontology modeling, metamodels, or system design principles

• Ability to independently read, understand, and apply research papers and technical documentation

• Excellent problem-solving skills and a collaborative mindset

Key Program Facts:

• Program Length: 2 to 6 months (flexible based on your availability and academic schedule)

• Location: Pune, India

• Working Model: Onsite

• Full-Time/Part-Time: Full-Time

• Start Date: June/July 2026

Equal Opportunity Statement:

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.