We Are: Drive technological 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:

• Collaborating with world engineering teams to build Generative AI Platforms, Solutions, and SDKs.
• Exploring and understanding the cloud and on-premises components of an AI platform.
• Supporting the team with Generative AI and complex distributed systems software development.

What You’ll Need:

• Currently pursuing a BE/BTech in Computer Science, Information Technology, or a related field.
• Strong understanding of AI/ML concepts.
• Solid foundation in computer science fundamentals, including algorithms and data structures.
• Proficient programming skills (Python strongly preferred).
• Familiarity with Deep Learning, Machine Learning, Generative AI, and AI/ML workflows or tools (e.g., PyTorch, MLflow, Keras).
• Strong systems knowledge in Linux Kernel and shell scripting.

Key Program Facts:

• Location: Bangalore, India.
• Working Model: In-office.
• Full-Time/Part-Time: Full-time