Queracomputinginc

Quantum Scientist - Time-to-Solution & Benchmarking

Albuquerque, NM, USA

Sponsorship not specifiedDetected 23 days ago

PythonAlgorithmsData AnalysisResearchCommunication

About the role

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.
The ideal candidate combines deep theoretical understanding with practical data-driven insight.

5+ years of experience in performance modeling, simulation, or analysis of quantum systems or other complex computational/physical systems.
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 background in quantum information science, computational physics, or a closely related quantitative discipline.
Strong written and verbal communication skills for technical documentation and cross-disciplinary collaboration.

Experience with benchmarking or performance modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar).
Prior participation in federally funded research programs (e.g., DARPA, DOE) or large collaborative research efforts.
Track record of publications or technical contributions related to system-level performance analysis or benchmarking.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer.

This listing is sourced directly from Queracomputinginc's careers page and normalized into a canonical job model.