Responsibilities
- Lead hands-on development of novel fault-tolerant quantum algorithms that will make a large scientific and commercial impact across a wide range of industry verticals.
- Perform detailed resource analyses of quantum algorithms and perform SWOT analysis of FTQC approaches as compared to NISQ and/or classical methods.
- Provide trusted expertise in FTQC algorithms and communicate the current state-of-the-art, scaling behaviors, trade offs, cross-over points, etc. to stakeholders across the company.
- Drive constructive technical interactions across multi-disciplinary teams to identify, define and solve challenging real-world problems using IonQ trapped-ion quantum computers.
- Develop and drive adoption of industry-leading benchmarking and resource estimation methodologies, metrics, and tools.
- Develop portfolio of foundational IP and high-impact-factor peer-reviewed publications; represent IonQ externally with customer/clients and at conferences.
Requirements
- PhD in physics, mathematics, computer science, or similar field, or comparable field or equivalent work experience + 3 years of professional experience in the quantum computing field
- Demonstrated expertise in FTQC algorithms that can scale to millions of qubits, billions of gates with line-of-sight to end-customer value: active portfolio of invited talks, repos, licenses, publications and/or patents
- Active participant in the FTQC algorithm community via, e.g., development of tools (libraries, simulators, compiler), metrics (costing, resource estimation, ROI), and/or community (economic development, standards)
- Relentless dedication to optimizing algorithmic performance (accuracy, time-to-solution) through elegant theoretical equations, as well as engineering optimization
- Mastery of key mathematical techniques used in quantum computing and quantum algorithm development, and a demonstrated ability to communicate scientific results clearly.
Nice to Have
- 5+ years of professional work experience developing end-to-end solutions for realistic industry problems such as computer-aided engineering, cybersecurity, chemistry, etc.
- Experience working with quantum algorithms for relevant use cases. This could include quantum simulation (e.g., product formulas, qubitization, qDRIFT, etc.), quantum algorithms and primitives (e.g., block-encodings, LCU, QSP, QSVT, Gibbs sampling, quantum linear systems, etc.), and/or end-to-end fault-tolerant quantum algorithms as applied to detailed use cases.
- Demonstrated expertise in Python and Qiskit or similar quantum SDK; working knowledge of C++.
- Experience proposing, winning, and executing on consultative (paid) contracts; government contracting or defense contracting experience a plus
- Experience commercializing end-to-end software utilizing hybrid computing e.g. CPU + GPU + QPU, Edge, Cloud, etc. Knowledge of CI/CD a plus.
