Quantum Application Scientist

Quantum Computing Inc•Hoboken, NJ

66d•Onsite

About The Position

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications. We are seeking an experienced Quantum Application Research Scientist for research and development on utilizing QCi's entropy quantum computing hardware for solving computationally-hard optimization problems. This role involves close collaboration with the high-performance computing application team as well as the entropy computing hardware team.

Requirements

PhD in Quantum Information Science, Physics, Computer Science, Applied Mathematics, or a related field.
Strong foundation in quantum algorithms, quantum information theory, or quantum statistical mechanics.
Demonstrated research experience in optimization methods, either quantum or classical.
Proficiency in scientific programming (Python, C++, or similar) and numerical methods.
Strong track record of publications or equivalent technical contributions.
Ability to work collaboratively across disciplines and communicate complex ideas clearly.

Nice To Haves

Experience with NISQ (Noisy Intermediate-Scale Quantum) hardware, analog quantum devices, or non-traditional quantum computing paradigms.
Familiarity with entropy-based computing models or statistical physics approaches to optimization.
Background in high-performance computing, large-scale simulations, or hybrid classical-quantum workflows.
Experience with combinatorial optimization formulations such as Ising models, QUBO, or constraint satisfaction problems.
Industry or government R&D experience in applying quantum or advanced computational techniques to real-world problems.
Strong collaborative and leadership skills, including mentoring junior researchers.

Responsibilities

Design, analyze, and implement algorithms for combinatorial optimization and related computationally challenging problems on entropy quantum computing hardware.
Collaborate with hardware engineers to map theoretical models and algorithms to physical implementations.
Benchmark entropy quantum computing approaches against classical and quantum alternatives, and publish results in peer-reviewed venues.
Develop simulation and modeling tools to characterize performance and scalability.
Contribute to interdisciplinary projects at the intersection of physics, computer science, and applied mathematics.
Work closely with the applications team to identify high-impact use cases in industry and government.
Communicate results and insights to both technical and non-technical audiences, including customers, collaborators, and leadership.

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