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IBM
Quantum Hardware EDA & Circuit Design Intern - 2027
Career Insights for Circuit Design Engineer
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What they do
A Circuit Design Engineer designs, develops, and tests analog and digital circuits within complex electrical systems in areas such as aeronautics, power industry, vehicle design, etc.
$147,371 / year median in New York
+7% projected growth
Job Description
- Introduction
- At IBM Research, we are the innovation engine of IBM.
- Your role and responsibilities
- As a Quantum Hardware EDA & Circuit Design Intern at IBM Quantum, you will contribute to the design, simulation, and optimization of circuits and design workflows that support scalable quantum computing systems.
- Required technical and professional expertise
- Experience in an academic graduate program related to electrical engineering, microwave/RF engineering, electronic design automation, computer engineering, AI/ML, or a related field.
- Coursework or projects in one or more of: microwave/RF circuits, electromagnetics, IC design/simulation, EDA, or AI for EDA.
- Familiarity with Cadence Virtuoso, Synopsys Custom Compiler, and/or EDA design environments. Familiarity with AI-assisted design or optimization methods is a plus.
- Programming experience in Python, or a comparable language for analysis, simulation, automation, EDA tool development, or machine-learning workflows.
- Strong problem-solving skills and ability to communicate technical work clearly in a collaborative research environment.
- Preferred technical and professional experience
- Experience with microwave/RF circuit or component design, such as filters, amplifiers, resonators, transmission lines, matching networks, or digital place-and- route and associated EDA tools.
- Familiarity with electromagnetic and microwave simulation tools, such as Ansys HFSS, Keysight ADS, Cadence AWR, Sonnet, or COMSOL.
- Experience with EDA tools and workflows for schematic capture, simulation, layout, physical design, verification, or design automation.
- Experience applying modern AI methods (including LLMs, reinforcement learning, graph neural networks, or Bayesian optimization) to EDA workflows such as circuit synthesis, simulation acceleration, design-space exploration, layout optimization, verification, or agent flow development.
- Familiarity with Git/GitHub for version control and collaboration.
- Strong publication record or contributions to papers in circuit design, EDA, or AI venues (e.