Quantum Calibrations Intern, Quantum Computing Services

QuEra Computing, Inc. • Boston, MA

9h • Onsite

About The Position

QuEra is seeking motivated interns to join our growing team focused on developing the calibration and performance characterization framework for QuEra’s neutral-atom quantum computers. As an intern, you will collaborate with physicists, software engineers, and hardware specialists to design benchmarking protocols, build physics-informed models of device behavior, and develop predictive tools for real-time qubit state evolution. This internship offers a unique opportunity to gain hands-on experience at the interface of quantum hardware and data science, contributing to the development of calibration and performance characterization frameworks for scalable, reliable neutral-atom quantum computers. This role is part of QuEra’s Quantum Computing Services team and is based at QuEra’s Boston headquarters. The team’s mission is to develop QuEra’s neutral-atom technology into cutting-edge quantum computing products and services.

Requirements

• Foundational understanding of quantum mechanics and open quantum systems at the graduate level.
• Experience designing and analyzing experiments involving quantum or physical systems
• Strong programming skills in Python, including familiarity with libraries such as NumPy, SciPy, Pandas, and Matplotlib.
• Enjoys hands-on experimentation, iteration, and uncovering structure in data.
• Strong analytical, problem-solving, and communication skills.

Nice To Haves

• Familiarity with quantum gate characterization protocols (randomized benchmarking, process tomography, GST) and error budget decomposition.
• Exposure to Hamiltonian learning, system identification, or quantum noise spectroscopy methods.
• Experience applying machine learning (Gaussian processes, time-series models, or neural networks) to physical or experimental data.
• Exposure to laboratory instrumentation, data acquisition, or experimental control systems.

Responsibilities

• Develop and test data analysis routines to fit, visualize, and interpret experimental data.
• Design and execute device benchmarking and characterization experiments.
• Build and apply Hamiltonian learning routines to infer effective system parameters from time-evolution data.
• Develop predictive models for key performance metrics (gate fidelity, coherence, readout error) using time-series calibration history and machine learning methods.
• Collaborate closely with physicists, engineers, and software developers to integrate your work into QuEra’s operational stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern