Full Description

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 optimize software tools and automation scripts for silicon validation in a modern lab environment. Identify, implement, and refine lab automation processes to enhance efficiency and streamline validation workflows. Troubleshoot and improve software-driven validation processes, ensuring high accuracy and reliability in data acquisition. Collaborate with cross-functional teams to integrate new lab technologies that accelerate test and validation cycles. Document and share best practices, contributing to a culture of continuous improvement and technical innovation.

What You’ll Need

Currently pursuing a bachelor’s or master’s degree in Electronic Engineering, Computer Science, or a related field. Proficiency in programming and scripting languages such as Python, Matlab, C/C++, or similar. Familiarity with lab equipment and test environments is recommended. Experience or knowledge of data acquisition systems and modern lab instruments (oscilloscopes, BERTs, VNA, etc.). Skilled in software debugging and version control tools. Analytical, resourceful, and enthusiastic about experimenting with new technologies. Strong communication and documentation skills. Self-driven, proactive, collaborative, and willing to adapt in a dynamic, hands-on setting.

Key Program Facts

Program Length: 6 months internship

Location: Lisbon (Porto Salvo), Portugal