Software Development & Optimization 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:

As part of the optiSLang development team, you'll work on exciting enhancements to optimization algorithms and metamodel techniques that power real-world engineering solutions. Your contributions will span from mathematical formulation to hands-on implementation and testing:

• Conduct research and development activities focused on optimization algorithms, metamodel techniques, and machine learning applications, combining literature review with practical software development
• Develop and implement algorithmic prototypes using C++ and Python, creating consistent mathematical formulations and integrating them into software libraries
• Create comprehensive test cases and automated benchmarking scripts to evaluate algorithm performance on real application examples, ensuring robust and reliable solutions
• Collaborate actively with cross-functional teams by participating in planning meetings, gathering requirements, and presenting your findings through detailed documentation and engaging presentations
• Explore and experiment with cutting-edge technologies in numerical methods, machine learning, and statistical analysis while working hands-on with advanced simulation software

What You'll Need:

• Currently pursuing a Master's degree in Engineering, Mathematics, Physics, or Computer Science, ideally in the final years of your program
• Familiar in numerical methods with a genuine interest in machine learning, optimization, and statistical techniques
• Familiarity in C++ and Python programming, with demonstrated technical skills in software development and experience working in Windows/Linux environments
• Ability to communicate in English, both written and verbal
• Problem-solving mindset with a strong desire to learn by doing, explore new technologies, and tackle challenging engineering problems
• Familiarity with surrogate modeling using tools such as Matlab, Python, C++, TensorFlow, PyTorch, Scikit-learn, or Theano
• Understanding of computational mathematics with experience using libraries like Python/Pandas, Python/NumPy, and Python/SciPy

Key Program Facts:

• Program Length : 6 months
• Location : Lyon, France
• Working Model : In-office
• Full-time
• Start Date : January 2027

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.