Quantinuum
AI

Research Scientist, Quantum Algorithms (Optimization)

Quantinuum · London, ENG, GB

Actively hiring Posted about 1 month ago

Responsibilities

  • Conduct research on quantum algorithms with a focus on optimization problems
  • Design, implement, and optimize quantum algorithms on simulators and Quantinuum’s quantum hardware
  • Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
  • Communicate scientific results internally across teams and externally through publications and conference presentations

Basic qualifications

  • PhD (or equivalent experience) in physics, mathematics, computer science, or a related field
  • Research experience in quantum algorithms
  • Demonstrated research track record through publications in quantum algorithms for optimization or related areas
  • Hands-on experience implementing quantum algorithms on quantum hardware
  • Experience in mathematical optimization
  • Excellent written and oral communication skills
  • Programming experience in a high-level language such as Python and familiarity with quantum software frameworks such as pytket, Guppy, or Qiskit

About the company

Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.

By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.

By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.

Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements: https://www.quantinuum.com/news

Quantinuum Intro Video: The Future of Quantum Computing

Please note that employment with us is subject to successfully passing our pre-employment screening checks. 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.

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.