Processing 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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and 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 Process Engineering team is looking for an intern to support engineering team on process development, especially quality improvement, cost reduction and throughput boost. The intern will be learning about semiconductor processes in a high volume fast-paced wafer manufacturing environment. The intern will gain hands-on experience through data collection and creating innovative solutions to problems.

Essential Duties:

• Developing improvements to manufacturing processes and modifications to production process flows to improve yield, quality, cost and cycle time. AI-powered solutions are preferred
• Analyzing inline process signals and operational efficiency
• Troubleshooting process shifts and applying engineering methodologies to identify areas for improvement

Minimum Qualifications:

• Currently enrolled in an engineering degree-seeking program for Bachelors or Masters
• Able to work on-site in a cleanroom environment

Preferred Qualifications:

• Excellent communication and teamwork skills
• Strong data analysis skill and programming background, especially experience with large language model
• Experience working in a cleanroom lab or facility is highly preferred
• Knowledge of semiconductor processing is a plus, especially photolithography

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Internship/CooperativeRequired Travel: Yes, 10% of the timeThe expected wage range for a new hire into this position is $22 to $41.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.