Quantum Scientist - Time-to-Solution & Benchmarking

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What the firm says Summary   QuEra Computing is seeking a Quantum Scientist to develop system- and algorithm-level performance models for large-scale neutral-atom quantum computers. This role focuses on translating device- and architecture-level models into quantitative estimates of algorithmic fidelity, runtime, and time-to-solution for representative quantum workloads. Working at the interface of quantum algorithms, architecture and benchmarking, you will analyze how hardware constraints and effective error models impact end-to-end computational performance. You will develop system-level performance and runtime models that map device and architecture characteristics to algorithmic success probability, throughput, and time-to-solution. You will collaborate closely with hardware theory, experimental, and application development teams. Your work will directly support internal design decisions and external benchmarking efforts, including participation in programs such as DARPA’s Quantum Benchmarking Initiative (QBI). The ideal candidate combines deep theoretical understanding with practical data-driven insight. Qualifications   5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems. Strong background in quantum information science, computational physics, or a closely related quantitative discipline. Proficiency in numerical modeling and data analysis using Python or Julia. Demonstrated ability to analyze experimental or simulated data and correlate results with abstracted models. Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration.   Preferred Qualifications   Experience with benchmarking or performance modelin

公司怎么说 摘要 QuEra Computing正在寻找一位量子科学家，为大规模中性原子量子计算机开发系统和算法级别的性能模型。该职位侧重于将设备和架构级别的模型转化为代表性量子工作负载的算法保真度、运行时间和求解时间的定量估计。在量子算法、架构和基准测试的交界处工作，您将分析硬件约束和有效错误模型如何影响端到端计算性能。您将开发系统级性能和运行时模型，将设备和架构特征映射到算法成功概率、吞吐量和求解时间。您将与硬件理论、实验和应用开发团队密切合作。您的工作将直接支持内部设计决策和外部基准测试工作，包括参与DARPA的量子基准测试计划（QBI）等项目。理想的候选人将深厚的理论理解与实用的数据驱动洞察相结合。资格要求 5年以上量子系统或其他复杂计算/物理系统的性能建模、仿真或分析经验。在量子信息科学、计算物理或密切相关的定量学科方面有深厚的背景。熟练使用Python或Julia进行数值建模和数据分析。展示出分析实验或模拟数据并将结果与抽象模型相关联的能力。强大的书面和口头沟通能力，用于技术文档和跨学科协作。 优先资格 具有基准测试或性能建模经验

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