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IBM
Qubit Characterization Engineer
Career Insights for Optical / Laser Engineer
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What they do
An Optical or Laser Engineer researches and develops technology that uses the science of light (optics). Optical technology includes fiber optic cables, which enable high-speed internet connections across long distances, and lasers, which can be used to make very small incisions and measurements. Works closely with scientists and engineers from other fields on advances in technology.
$103,427 / year median in New York
+1% projected growth
Job Description
- Introduction
- At IBM Research, we are the innovation engine of IBM.
- Your role and responsibilities
- Characterize superconducting qubits and devices through cryogenic measurements, including coherence, relaxation, spectroscopy, and two-qubit gate performance.
- Develop and execute measurement experiments using RF/microwave instrumentation, dilution refrigerators, and automated data-acquisition systems; analyze data to identify device and process limitations.
- Collaborate with fabrication, design, and software teams to diagnose device performance issues, improve qubit yield and quality, and translate characterization results into actionable hardware improvements.
- Required technical and professional expertise
- BS or MS in Physics, Electrical Engineering, Applied Physics, or a related technical field, with hands-on experience in experimental quantum hardware, microwave/RF measurements, or cryogenic systems.
- Proficiency with laboratory instrumentation, data acquisition, and analysis; ability to troubleshoot complex experimental systems and communicate results effectively across multidisciplinary engineering teams.
- Preferred technical and professional experience
- Experience characterizing superconducting qubits and/or microwave devices, including spectroscopy, coherence measurements (T1/T2), resonator measurements, and analysis of qubit performance.
- Basic proficiency with AI/ML tools for data analysis, experiment automation, troubleshooting, and improving engineering workflows; familiarity with tools such as Python-based AI/ML libraries or generative AI assistants is a plus.