About the role#
This is a summer 2027 internship based on-site in Yorktown Heights, New York. You will join a team of scientists focused on the performance, stability, and availability of quantum computing systems. The work centers on automated monitoring and calibration of hardware.
What you'll do#
- Develop techniques to identify performance drift and degradation in quantum processors.
- Make automated decisions regarding system recalibration and maintenance.
- Optimize system parameters to improve overall performance.
- Apply machine learning, statistical analysis, and optimization methods to monitoring tasks.
- Use data-driven approaches to manage system health.
What you'll need#
- Undergraduate-level knowledge of quantum physics, quantum computing, Python, numerical analysis, and statistics.
- Graduate-level familiarity or practical experience with quantum physics, quantum computing, Python, numerical analysis, or statistics.
- Hands-on experience with experimental quantum systems, device characterization, or calibration.
- Experience using the Qiskit python package.
- Experience 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.
Location & details#
- Location: Yorktown Heights, New York, United States.
- Modality: On-site.
- Term: Summer 2027.
- Employment type: Full-time paid internship.
- Sponsorship: Not provided.
About IBM
IBM provides IT services and consulting to a global client base. The company develops technology solutions across areas such as cloud computing, security, analytics, and infrastructure. It operates as a public organization with more than 10,001 employees. The corporate headquarters are located in Armonk, New York.
How to get in at IBM
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