AI Automation & Productivity Apprenticeship
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 13758 Remote Eligible No Date Posted 16/12/2025
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.
Apprenticeship Experience:
At Synopsys, Apprentices 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:
•Collaborate with engineering teams to integrate AI-assisted productivity tools into semiconductor design workflows.
•Develop and maintain Python scripts for automation, data analysis, and interfacing with AI APIs.
•Support the validation and testing of large language models (LLMs) and natural language processing (NLP) solutions using prompt engineering applied to hardware engineering tasks.
•Assist in building agentic development flows to optimize engineering processes and improve system efficiency.
•Document technical findings and present results to cross-functional teams, contributing creative ideas to enhance workflows and productivity.
What You’ll Need:
•B.E./B.Tech in Computer Science, Electronics, Electrical, Instrumentation, or related fields.
•Strong academic foundation with relevant coursework, projects, or internships in semiconductor design.
• Profiencent written and verbal communication skills in working with team members in same and across time zones
•Strong analytical skills, debug and validation skills, implementation skills
•Fresh graduates from the class of 2024 or 2025 only.
•Not currently enrolled in any M-Tech programs or postgraduate diplomas.
•Not employed in any full-time positions at any company (limited internship experience is acceptable).
Key Program Facts:
•Program Length: 12 months apprenticeship program. Candidates may be considered for conversion after 12 months; tenure cannot exceed 12 months.
•Location: Bengaluru, India
•Working Model: In-office
•Full-Time/Part-Time: Full-Time
•Start Date: Jan 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.
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