As a Quantum Hardware EDA & Circuit Design Intern at IBM Quantum, you will join a research team focused on developing scalable quantum computing systems. Your daily responsibilities involve the design, simulation, and optimization of circuits and workflows supporting qubit control, readout, and packaging. You will work on microwave and RF circuit design, electromagnetic simulation, circuit modeling, and electronic design automation methods, including AI-enabled techniques for verification and automation. The role requires proficiency in Python for analysis and tool development, along with experience in Cadence Virtuoso or Synopsys Custom Compiler. Candidates should possess skills in electromagnetics, IC design, and potentially advanced machine learning methods like reinforcement learning or graph neural networks. You will solve complex hardware challenges by developing practical tools and design approaches within the specialized domain of quantum computing infrastructure.
Design, simulate, and optimize circuits and design workflows for scalable quantum computing systems.
Perform microwave and RF circuit design including filters, amplifiers, resonators, and transmission lines.
Conduct electromagnetic simulations using tools like Ansys HFSS or Cadence AWR.
Develop automated EDA methods and tools for circuit synthesis, verification, and layout optimization.
Apply AI-enabled methods such as reinforcement learning or graph neural networks to accelerate design workflows.
Create practical tools and design approaches for qubit control, readout, and packaging.
Develop Python scripts for analysis, simulation, and machine-learning workflows.
What we're looking for
A Bachelor's degree is required; a Master's degree is preferred.
Experience in an academic graduate program related to electrical engineering, microwave/RF engineering, EDA, computer engineering, or AI/ML is required.
Completion of coursework or projects in microwave/RF circuits, electromagnetics, IC design, or AI for EDA is required.
Familiarity with Cadence Virtuoso, Synopsys Custom Compiler, and other EDA design environments is required.
Programming experience in Python or a comparable language for analysis, simulation, automation, or machine-learning workflows is required.
Experience with microwave/RF circuit design and electromagnetic simulation tools like Ansys HFSS or Keysight ADS is preferred.
Experience applying modern AI methods such as LLMs or reinforcement learning to EDA workflows is preferred.
A strong publication record in circuit design, EDA, or AI venues is preferred.
Verilog
system Verilog
UVM
Python
C++
C
Perl
Shell
MySQL
PHP
Linux
Unix
Windows
HDL
Digital Systems
Computer Organization
Hardware Design
Simulation
Debugging
Oscilloscopes