JOB TITLE: Quantum Demonstration Experimentalist
As an Experimental Research Scientist within IBM Quantum, you will provide scientific and technical leadership to advance the frontier of quantum computing. You will conceive and lead first-of-a-kind experimental demonstrations to extend the capabilities of quantum processors. Your daily work involves leading cross-functional research with theorists and software engineers to execute advantage-scale experiments. You will drive the development of advanced technologies including error mitigation, dynamic circuits, and quantum error correction. The role requires deep expertise in device physics, quantum control, and superconducting qubit architectures. You must possess strong programming proficiency in Python, experience with Git/GitHub, and familiarity with Qiskit. You will solve performance-limiting mechanisms to make quantum computing more usable, robust, and scalable across the full technology stack.
Define, develop, and lead novel quantum hardware demonstrations to expand the reach of IBM’s quantum systems.
Lead cross-functional research efforts with theorists, experimental physicists, and software engineers to execute advantage-scale experiments.
Drive the application and development of advanced technologies like error mitigation, dynamic circuits, and quantum error correction.
Identify performance-limiting mechanisms in device physics to influence the design of next-generation quantum hardware.
Shape technical direction across the full quantum computing technology stack to improve scalability and robustness.
Communicate research directions and results to technical and executive audiences while mentoring other researchers.
What we're looking for
At least 5 years of relevant experience in experimental quantum, simulation, or control, including postdoctoral or professional research experience.
Demonstrated record of independent research and technical accomplishment in identifying research problems and driving projects to results.
Deep experimental expertise with quantum computing systems, including designing, executing, and interpreting experiments on quantum hardware.
Strong programming proficiency, preferably in Python, and experience developing research-quality scientific software.
Demonstrated ability to lead technical collaborations across multiple disciplines such as experimental physics, theory, software, and hardware engineering.
Deep understanding of superconducting qubit device physics or comparable quantum hardware architectures (preferred).
Significant experience with advanced experimental techniques such as quantum control, error suppression, or quantum error correction (preferred).
Quantum Computing
Python
Linux Shell
Microwave Circuits
Cryogenic Systems
Electrical Test
Circuit Design
Test Automation
High-Performance Computing
AI
Hybrid Cloud