The Quantum System Performance Monitoring Intern will join a team of scientists focused on enhancing the performance, stability, and availability of quantum computing systems. This role involves developing automated monitoring and calibration techniques to identify performance drift and degradation in quantum processors. Interns will apply machine learning, statistical analysis, and optimization methods to improve system parameters. The position offers a unique opportunity to work at the intersection of high-performance computing, AI, and quantum technologies.

• High School Diploma or GED is required.
• Undergraduate-level familiarity with quantum physics and quantum computing is necessary.
• Proficiency in Python programming is required.
• Knowledge of numerical analysis and statistics is essential.

• Develop and improve techniques for automated monitoring and calibration of quantum computing systems.
• Identify quantum processor performance drift and degradation.
• Make automated decisions regarding recalibration and other actions.
• Optimize system parameters using data-driven approaches.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.