Intern 2026: CMOS Circuit Design Intern – Quantum Computing Applications

Introduction

IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.

IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your Role And Responsibilities

As a CMOS circuit design intern at IBM Quantum, you will contribute to the development of integrated circuits that support quantum computing systems. This may include digital, analog, mixed-signal, and RF blocks for qubit control, readout, and biasing. You will work closely with researchers to explore scalable, low-power, and high-precision circuit architectures that interface with quantum processors.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Experience in an academic graduate program related to analog/mixed-signal/RF circuit design
• Coursework or projects in CMOS digital design, CMOS analog design, digital signal processing, data converters design, frequency synthesizer design
• Familiarity with Cadence Virtuoso & Spectre simulation tools and/or Cadence Innovus
• Experience with one or more general-purpose programming languages such as Python or MATLAB for data analysis and automation
  
  

Preferred Technical And Professional Experience

• Understanding of system-level considerations in communications (e.g., noise, linearity, scalability)
• Hands-on experience with chip measurement setups, including probing and RF test equipment
• Knowledge of digital synthesis and/or layout techniques for advanced CMOS nodes (e.g., FinFET technologies)
• Experience with scripting for test automation and post-processing of measurement data
• Familiarity with Git/GitHub for version control and collaboration
• Strong publication record or contributions to conference papers (e.g., ISSCC, RFIC, VLSI, JSSC)