Quantum Calibration Engineer, Quantum Computing Services

Strong proficiency in Python, including experience with data analysis and visualization libraries (e.g., NumPy, SciPy, Pandas, Matplotlib).

Hands-on experience working with real experimental or measurement data, including noise handling, curve fitting, and model validation.

Familiarity with optimization and regression techniques, both classical (e.g., least-squares, nonlinear fits) and statistical (e.g., Bayesian inference, parameter estimation).

Comfort working in a hardware-facing environment, integrating software with lab instruments, data acquisition systems, or experimental control frameworks.

Solid understanding of version control (Git) and structured software development practices (testing, modularity, documentation).

Eager to grow from a capable engineer into a domain expert in quantum device

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

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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.

Design data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights.

Develop, refine, and maintain calibration pipelines consisting of complex data flows.

Develop robust data-fitting and optimization routines.

Validate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments.