Mixed Signal Engineering Intern

Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.

ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.

At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.

Apply now for the opportunity to grow your career and help innovate ahead of what’s possible.

The Platform IP team is looking for an intern to join this global mixed-signal design group. This position is based in Wilmington, MA and will focus on analog design automation initiatives that intersect with machine learning and mixed-signal design. The role offers a unique opportunity to contribute to both research and implementation, working alongside experienced engineers and researchers to explore innovative solutions that enhance analog design productivity. 

Responsibilities may include, but are not limited to: 

• Developing and validating ML-based models for analog design automation tasks. 

• Analyzing design data, simulation results, and layout metrics to extract meaningful insights. 

• Collaborating with design engineers to understand challenges and propose automation strategies. 

• Supporting tool development and scripting for design flow enhancements. 

• Documenting research findings and presenting progress to the team. 

Minimum Qualifications: 

• Currently pursuing a Bachelor’s, Master’s or PhD in Electrical Engineering, Computer Engineering, or a related field. 

Preferred Qualifications: 

• Strong understanding of analog circuit design fundamentals. 

• Experience with Python and machine learning libraries (e.g., scikit-learn, PyTorch). 

• Familiarity with EDA tools such as Cadence Virtuoso. 

• Coursework in Analog IC Design, Mixed-Signal Systems, Machine Learning, and VLSI Design. 

• Exposure to desi