Quantum Scientist - AMO Theory and Device Modeling

About the role

QuEra Computing is seeking a talented and innovative theorist with a strong background in theoretical atomic, molecular, and optical (AMO) physics and quantum information science to support the modeling and architecture development of our digital neutral-atom quantum computers. In this role, you will develop detailed physics-based models of key sub-components that constitute a neutral atom quantum computer, to characterize and enhance their performance. You will work closely with experimental teams to validate and refine models, define technical requirements and operating regimes, and guide experimental progress. You will also collaborate with compiler, applications, and QEC teams to ensure that low-level control abstractions and interfaces are aligned with algorithmic and architectural requirements. You will be expected to independently drive modeling efforts and translate theoretical insights into concrete guidance for experiments and architecture decisions.

Requirements

• PhD in theoretical atomic, molecular, and optical (AMO) physics or a closely related field.
• Experience modeling AMO experiments, including realistic multi-level atomic structure calculations, light-matter interactions, and Rydberg physics.
• Demonstrated ability to collaborate productively with experimental AMO or quantum hardware groups.
• Strong publication record in AMO physics or other relevant areas of quantum science.
• Basic knowledge of quantum error correction methods and quantum algorithms.
• Proficiency in Python and/or Julia for scientific modeling and simulation.
• Experience modeling noise sources, imperfections, and decoherence in neutral-atom platforms.
• Hands-on experience with open quantum systems simulations.
• Experience with pulse-level control, Hamiltonian engineering, and quantum control/optimization.
• Familiarity with benchmarking and characterization of quantum hardware primitives.
• Experience translating physical noise models into logical-level performance metrics.
• The approximate base salary range for this position is $130,400 - $211,900.
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