Gen AI & LLM Intern

Category Interns/Temp Hire Type Intern Job ID 16155 Base Salary Range $0-$0 Remote Eligible Yes Date Posted 03/15/2026

Job Title: Gen AI & LLM Internship

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:

• Work on Model Context Protocol (MCP) integrations and agentic workflows.
• Develop intelligent automation systems for enterprise applications.
• Collaborate with the team on real-world Gen AI projects.
• Experiment with prompt engineering and fine-tuning techniques.
• Contribute to AI-powered notification and data pipeline systems.
• Participate in code reviews and team knowledge-sharing sessions.

What You’ll Need:

• Currently pursuing a degree in Computer Science, AI/ML, or related field.
• Strong programming skills in Python.
• Hands-on experience or coursework with LLMs, Gen AI, or machine learning.
• Familiarity with frameworks like LangChain, LangGraph, or similar.
• Understanding of RAG, vector databases, and embeddings.
• Good communication skills and ability to work in a collaborative environment.
• Passion for AI technology and eagerness to learn.
• Ability to commit to a 3-month full-time internship.

Nice to Have:

• Experience with Snowflake, cloud platforms (AWS/Azure), or data pipelines.
• Knowledge of MCP servers or agentic AI systems.
• Contributions to open-source AI projects.
• Familiarity with enterprise software development practices.

Key Program Facts:

• Program Length: 3 months
• Location: Sunnyvale, CA, but open to remote candidates across the US.
• Full-Time/Part-Time: Full-Time
• Start Date: Summer 2026

Salary Information:

The base salary range across the U.S. for this role is between $27.00-$41.00 per hour. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.

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.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.