Description

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

Requirements

We are seeking an experienced Quantum Scientist to conduct research and development on applying novel quantum or physics-inspired computing hardware to computationally hard optimization problems. This role involves close collaboration with both application-focused teams and hardware engineering teams to translate theoretical models into practical implementations.

Quantum Scientist - New York City Suburbs

• Familiarity with physics-based or entropy-inspired computing models for optimization.
• Background in high-performance computing, large-scale simulations, or hybrid classical–quantum workflows.
• Ability to work collaboratively across disciplines and clearly communicate complex ideas.
• Demonstrated research experience in optimization methods, either quantum or classical.
• Strong publication record or equivalent technical contributions.
• Demonstrated leadership and mentoring experience in research environments.
• Experience with combinatorial optimization formulations such as Ising models, QUBO, or constraint satisfaction problems.
• PhD in Quantum Information Science, Physics, Computer Science, Applied Mathematics, or a related field.
• Strong foundation in quantum algorithms, quantum information theory, or statistical/quantum physics.
• Experience with NISQ-era hardware, analog quantum devices, or non-traditional computing paradigms.
• Proficiency in scientific programming (e.g., Python, C++, or similar) and numerical methods.
• Industry or government R&D experience applying advanced computational techniques to real-world problems.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance