Lead R&D manager, Quantum Algorithms (Optimization) - 825 in London

We are seeking an outstanding researcher to lead and advance Quantinuum’s work on quantum algorithms, with a particular focus on optimization problems. This role combines scientific leadership with hands‑on research aimed at developing algorithms that can unlock the capabilities of future generations of Quantinuum’s trapped‑ion quantum computers. The successful candidate will build and lead a new research team within Quantinuum focused on quantum optimization and related algorithmic challenges.

In this role you will drive research into novel quantum algorithms relevant to optimization and related computational problems, evaluating their performance against state‑of‑the‑art classical approaches. The role requires deep expertise in quantum algorithms and strong familiarity with optimization and algorithmic methods more broadly. This is a player‑coach role, combining individual technical contributions with leadership of a growing research team. You will help define Quantinuum’s long‑term strategy for algorithms and applications in optimization and guide the co‑design of algorithms and hardware to unlock the capabilities of emerging quantum systems. You will collaborate closely with leading researchers across the full quantum computing stack—from hardware, quantum error correction, and software to the broader quantum algorithms and applications teams. You and your team will also work with academic and industry partners to explore compelling use cases and evaluate the practical potential of quantum algorithms for optimization. Publishing high‑impact scientific work in leading journals and presenting results at major international conferences is a core component of this role.

• Build and lead a new research team at Quantinuum focused on quantum algorithms and optimization
• Define the team’s scientific direction and drive the development of novel quantum algorithms, including benchmarking against state‑of‑the‑art classical methods
• Contribute directly to research and algorithm development, working closely with teams across the quantum computing stack
• Mentor and develop team members, set clear goals aligned with team objectives and Quantinuum’s broader scientific and strategic priorities, and support hiring and team growth
• Collaborate with internal stakeholders and external academic and industry partners to identify promising application areas and develop practical use cases

• PhD in physics, mathematics, computer science, or a related field
• Strong research experience in quantum algorithms, ideally including work on optimization or closely related algorithmic problems
• Demonstrated expertise through high‑quality scientific publications
• Experience mentoring researchers or contributing to collaborative research projects
• Strong analytical and problem‑solving skills

• Strong research track record demonstrated through publications in leading scientific venues
• Deep understanding of quantum computing and quantum algorithm design
• Expertise in optimization, algorithm design, or related areas relevant to quantum algorithms
• Familiarity with classical optimization techniques and benchmarking methodologies
• Familiarity with quantum error correction or fault‑tolerant quantum computing
• Excellent written and oral communication skills

Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.

We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Please note that employment with us is subject to successfully passing our pre‑employment screening checks. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.