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PsiQuantum in Daresbury, England, invites applications for a Senior Quantum Applications Architect. You will contribute to the 3800 - Quantum Applications team, shaping novel quantum algorithms and their practical resource estimates for fault-tolerant quantum systems.
The role emphasizes technical leadership, independent research, and collaboration with industry and academia to map real-world problems to quantum solutions. A PhD is preferred, with strong programming experience in Python/C++.
Senior Quantum Applications Architect at PsiQuantum, Daresbury, England. A senior-level full time position in the 3800 - Quantum Applications team, listed under quantum applications.
Within the Quantum Algorithms team, we develop and adapt quantum algorithms, identify and scope promising use cases, and analyze their resource requirements. In this role, you will translate computational tasks into abstract quantum-algorithm specifications, analyze their asymptotic performance, and define meaningful problem instances that lie beyond the practical reach of classical computation. You will also work closely with PsiQuantum’s Compilation team to develop explicit implementations of these algorithms and evaluate their resource requirements on our architecture.
In this position, you will be expected not only to conduct outstanding individual research, but also to formulate and lead broader research programs that draw on the work of other researchers and collaborators. You will contribute to cross-team initiatives spanning PsiQuantum’s applications, architecture, and compilation efforts, helping to connect algorithm design with the practical requirements of fault-tolerant quantum computation.
The role will also involve external collaboration. You will have the opportunity to lead projects with industrial and research partners, working with domain experts to identify important computational challenges, formulate them as well-defined problems, and map them to appropriate quantum algorithms. Success in this work requires the ability to communicate across disciplinary boundaries and to move fluently between real-world applications, mathematical abstractions, algorithmic complexity, and implementation-level resource analysis.
The ideal candidate combines deep technical expertise with scientific leadership, intellectual independence, and a collaborative mindset. They will be comfortable shaping open-ended research directions, assessing the practical significance of algorithmic advances, and guiding projects from the initial identification of an application through to a concrete fault-tolerant quantum algorithm and a detailed resource estimate.