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Quantum Calibration Engineer, Quantum Computing Services                                                                                             Summary:      QuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra’s neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra’s quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms.   In this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra’s global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization.    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    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.  Qualifications    Required    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).  Strong problem-solving ability, scientific curiosity, and a willingness to learn new physical systems quickly. Eager to grow from a capable engineer into a domain expert in quantum device   Enjoys hands-on experimentation, iteration, and uncovering structure in data.  Comfortable working across abstraction layers, from analyzing raw voltage traces to designing experiment-level calibration strategies.  Collaborative and adaptable; able to operate in an interdisciplinary environment spanning science, software, and hardware teams. Nice to have   Experience with machine learning or data-driven modeling (e.g., for pattern recognition, drift prediction, or parameter inference).