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.

Responsibilities

• Develop detailed physics-based models of key sub-components that constitute a neutral atom quantum computer, to characterize and enhance their performance.
• Work closely with experimental teams to validate and refine models, define technical requirements and operating regimes, and guide experimental progress.
• Collaborate with compiler, applications, and QEC teams to ensure that low-level control abstractions and interfaces are aligned with algorithmic and architectural requirements.
• Independently drive modeling efforts and translate theoretical insights into concrete guidance for experiments and architecture decisions.

Qualifications

• 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.

Preferred Qualifications

• 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.

Pay

The approximate base salary range for this position is $130,400 - $211,900. We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including 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.