Staff Scientist, Quantum Algorithms and Applications

About IonQ

IonQ, Inc. [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense.

In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.

Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.

This role is based at our Bothell, WA office, operating in a hybrid working model.

Up to 5%

1757

IonQ, Inc. [NYSE: IONQ] is the world's leading quantum company delivering solutions to solve the world's most complex problems. IonQ's newest generation quantum computers, IonQ Tempo and IonQ Forte Enterprise, are the latest in cutting-edge systems that have been helping customers and partners such as Amazon Web Services, AstraZeneca, and NVIDIA achieve 20x performance results. The company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance in 2025.

The company is accelerating its technology roadmap and intends to deliver the world's most powerful quantum computers with 2 million qubits by 2030 to accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. IonQ's advancements in quantum networking position the company as a leader in building the quantum internet.

We are looking for a Staff Scientist, Materials Science to join the Computational Sciences team s is a newly formed group within Applications R&D, focused on general physics problems in condensed matter and high energy physics alongside combinatorial optimization.

You will bring dedicated condensed matter and high energy physics capability into the team, working on problems that today are delivered through a borrowed virtual team drawn from across the organisation.

The work sits at the meeting point of traditional classical simulation and fault‑tolerant quantum computing. You will bring judgement about where each approach earns its place, working independently against goals and helping shape how IonQ tackles real scientific problems as the company moves towards fault‑tolerant applications.

• Lead condensed matter and high energy physics application projects, working independently against agreed goals.
• Connect physics problems to quantum computation, selecting appropriate fault-tolerant algorithms and mapping problems onto quantum-native formulations.
• Combine classical simulation and HPC workloads with quantum methods in integrated end-to-end workflows.
• Compare computed results against experimental data, including neutron scattering observables such as dynamical structure factors and spectral functions.
• Collaborate with other fault‑tolerant algorithms researchers and with the quantum chemistry and software engineering teams, and contribute to publications and external technical representation.

• A doctorate in Physics, Chemistry, Materials Science or a related field, with postdoctoral or industry experience and a track record of carrying research forward independently.
• Deep expertise in condensed matter or high energy physics: magnetic systems, strongly correlated materials, superconductivity, spin dynamics, Fermi‑Hubbard models, lattice gauge theory or related areas.
• Experience with classical simulation methods and HPC workloads for these problems, ideally including packages such as QuantumATK,…