Quantum Scientist - Time-to-Solution & Benchmarking
QuEra Computing, Inc.
Salary undisclosed
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Description
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 modeling in quantum computing platforms (neutral atoms, ions, superconducting qubits, or similar).
- Experience developing or using abstracted error and performance models to evaluate system- and algorithm-level behavior.
- 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. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
About this role
QuEra Computing is building performance models that bridge the gap between quantum hardware and real-world algorithmic outcomes. In this role, you'll develop system-level frameworks that translate device characteristics and architectural constraints into quantitative predictions of fidelity, runtime, and time-to-solution for quantum workloads. The work sits at a critical intersection: you'll need to understand both the physics and engineering of neutral-atom quantum computers and the algorithms that run on them, then synthesize that understanding into models that inform hardware design and external benchmarking initiatives like DARPA's Quantum Benchmarking Initiative.
Success here requires 5+ years of hands-on experience in performance modeling or simulation of complex systems—quantum or otherwise—paired with strong grounding in quantum information science or computational physics. You should be comfortable extracting signal from experimental or simulated data, building abstracted models that capture essential behavior, and moving fluidly between theory and practical implementation in Python or Julia. Experience with quantum computing platforms and error modeling is valuable; prior work on federally funded research programs or published contributions to system-level performance analysis would strengthen your candidacy.
You'll collaborate directly with hardware theorists, experimentalists, and application developers in Albuquerque, working in-office. This is a role for someone who can communicate complex technical ideas clearly across disciplines and who finds the challenge of predicting real-world quantum system performance intellectually compelling.
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