Software Developer in Statistical Analysis - Fall 2026 Internship

Date posted 05/13/2026

Category Interns/Temp Hire Type Intern Job ID 17508 Base Salary Range $0-$0 Remote Eligible Yes Date Posted 05/13/2026

Introduction

At Synopsys, we 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:

• Contribute to the development and enhancement of Ansys Dynamic Reporting (ADR), a cutting-edge platform used to collect, aggregate, and process data from engineering simulations

• Implement and integrate clustering analysis techniques into the reporting engine to enhance statistical analysis capabilities

• Help engineers interpret large parametric studies by identifying trends, patterns, and groups of similar results through advanced data analysis

• Collaborate with cross-functional teams to automate report generation and improve the overall functionality of the platform

• Write clean, efficient Python code and utilize Git for version control while working on real-world engineering challenges

What You'll Need:

• Currently pursuing a bachelor's or master's degree in Computer Science, Software Engineering, Data Science, Statistics, or a related field

• Strong programming skills in Python and experience with Git version control

• Solid understanding of statistical analysis fundamentals, particularly clustering analysis techniques

• Problem-solving mindset with the ability to work both independently and collaboratively in a team environment

• Nice to have: Experience or familiarity with JavaScript

Key Program Facts:

Program Length: 4 months

Location: Apex, NC or Remote

Working Model: Hybrid, remote, or in-office (flexible options available)

Full-Time/Part-Time: Full-Time

Start Date: August 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.