Job Description

Job Title: Intern, Quantum Calibrations, Quantum Computing Services
Job Type: Full-time, 3-6 months
Job Location: Boston, MA
Reports to: VP of Quantum Computing Services

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.

Core 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.

Qualifications

Required

• 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.

Preferred

• 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.

Education & Experience

• Currently pursuing or recently completed a Master's or PhD in Physics, Applied Physics, Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.