Quantum Design Engineer

QpiAI

Greater Bengaluru Area2h agovia LinkedIn

About QpiAI

QpiAI is building full-stack Enterprise Quantum Computers, leading discovery of optimal AI and Quantum systems in Life sciences, Healthcare, Transportation, Finance, Industrial, and Space technologies. The Quantum hardware team is responsible for designing and characterization of Quantum Processor, Cryogenic Quantum Control Circuits, RF Control Hardware, and QpiAI ASGP.

About the Role

Seeking a highly skilled and motivated Quantum Chip Design Engineer to join a cutting-edge research and development team. The role encompasses designing multi-qubit circuits for fabrication and developing next-generation quantum processors with improved gate and measurement fidelities. This role involves working closely with the nanofabrication team to develop novel superconducting qubit architectures and filing patents.

Key Responsibilities

  • Design of multi-qubit circuits for fabrication.
  • Development of next-generation quantum processors with improved gate and measurement fidelities.
  • Working closely with the nanofabrication team to develop novel superconducting qubit architectures.
  • Filing patents.

Requirements & Tech Stack

  • MSc/M.Tech/PhD Degree in Physics, Electrical Engineering or a related field with a focus on quantum mechanics or quantum technology.
  • Experience with design of quantum circuits and gds tapeout using custom tools or commercial software like HFSS, ADS Quantum Pro and simulation.
  • Expertise in developing circuit architecture to improve the performance of gates and readout.
  • Knowledge and strong understanding of circuit QED, and error-correction schemes preferably in superconducting qubits.
  • Proven track record of successful projects and publications in peer-reviewed journals in the field of quantum technology.
  • Experience with data analysis software and programming languages such as Python, MATLAB, or similar tools.
  • Experience in writing analysis reports to help the definition of DOE and improvement plan for experimentation plan is a plus.
  • Good problem-solving and communication skills.
  • Self-motivated and able to work independently.

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