Engineering Intern
Overview
Our internship programs offer real-world projects, hands-on experience, and opportunities to collaborate with passionate teams globally. Explore your interests, share your ideas, and bring them to life while shaping your career path within our inclusive culture that fosters innovation and collaboration. Engineer your future with us!
Job Description
Category Interns/Temp Hire Type Intern Job ID 16674 Base Salary Range $0-$0 Remote Eligible Yes Date Posted 04/01/2026
Introduction:
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:
- Develop and prototype new features using Python to enhance the user journey and platform value.
- Research and identify friction points in user interactions with solutions, translating insights into actionable technical requirements.
- Maintain high standards of technical documentation and actively participate in QA to ensure smooth deployment of new tools.
- Curate documents and data to build Retrieval-Augmented Generation (RAG)-based GenAI solutions and generate prompt datasets to validate solution effectiveness.
What You’ll Need:
- Currently pursuing a degree with an Engineering background.
- Strong proficiency in Python and experience working with data.
- Hands-on exposure to AI/GenAI tools and prompt engineering for rapid prototyping.
- A user-first mindset with the ability to synthesize complex data into actionable product improvements.
- Strong communication skills and a self-driven approach to work.
Key Program Facts:
- Program Length: 3 months
- Location: Plano, TX, USA
- Working Model: In-office
- Full-Time/Part-Time: Full-time
- Start Date: May / June 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.
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.
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