Quantum System Performance Monitoring Intern 2027
IBM
Yorktown Heights, NYFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Machine learning
- Nice to have
- StatisticsPython
- Work
- On-site in Yorktown Heights · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python32%Statistics21%Machine learning7%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 4, 2026 · still open
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About the Role
At IBM Research, you will join a team of scientists working to improve the performance, stability, and availability of quantum computing systems through automated monitoring and calibration.
Key Responsibilities
- Develop and improve techniques for identifying quantum processor performance drift and degradation.
- Make automated decisions about when to recalibrate or take other actions.
- Optimize system parameters.
- Potentially apply machine learning and AI techniques, statistical analysis, optimization methods, or other data-driven approaches to monitoring and calibration, depending on background and project needs.
Requirements & Tech Stack
- Undergraduate-level familiarity with:
- Quantum physics
- Quantum computing
- Python programming
- Numerical analysis
- Statistics
Qualifications
- Preferred Education: Bachelor's Degree
- Preferred Experience (Graduate-level familiarity and/or hands-on real-world experience with many of the above):
- Hands-on experience with experimental quantum systems, quantum-device characterization, or calibration.
- Experience using the Qiskit python package.
- Experience developing or applying machine-learning, statistical, or optimization methods to experimental or time-series data.
- Familiarity with anomaly detection, statistical inference, automated control, or parameter optimization.
- Experience working with large experimental datasets or data-analysis pipelines.