Mixed Signal Engineer Intern

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.

About the Role

As a Mixed Signal Engineer Intern at Analog Devices (ADI), you will contribute to cutting-edge analog and mixed-signal design and automation initiatives. This role offers hands-on experience in circuit design, machine learning applications, and design flow optimization, working closely with experienced engineers in a collaborative environment.

Responsibilities

• Develop and validate machine learning models for analog design automation.
• Analyze design data, simulation results, and layout metrics to extract insights.
• Collaborate with design engineers to identify challenges and propose automation strategies.
• Support tool development and scripting for design flow enhancements.
• Perform analog and mixed-signal circuit analysis, design, simulation, and verification in advanced CMOS nodes.
• Optimize physical design in collaboration with layout engineers.
• Conduct lab evaluation and debug of pipeline ADCs; assist with test equipment setup and maintenance.
• Document research findings and present progress to the team.

Skills

• Strong foundation in analog circuit design and mixed-signal systems.
• Experience with Python and machine learning libraries (e.g., scikit-learn, PyTorch).
• Familiarity with EDA tools such as Cadence Virtuoso.
• Exposure to design automation concepts and analog layout-aware design.
• Experience with data analysis tools (e.g., MATLAB, pandas).
• Knowledge of ADC architectures, high-speed analog design, clocking, and calibration techniques.
• Strong communication skills and initiative in exploring interdisciplinary challenges.

Qualifications

• Currently enrolled in an Undergraduate, Masters, or PhD program in Electrical Engineering, Computer Engineering, or a related field.