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Careers at Phasecraft
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Quantum Algorithms Engineer

26 Mar 2025
Bristol, UK
Verified by Turrior

Content + Source + Freshness • 13 Dec 2025 • 95% confidence

76 / 100

Offer value

Medium value due to engaging work in quantum computing and potential for growth, but lower entry criteria may attract less experienced applicants.

  • Access to emerging quantum technology work
  • Great entry points for recent graduates
  • Potential for skill growth in a collaborative environment
  • Less rigorous experience requirements may attract a wider pool
Pros
  • Opportunity to work with advanced quantum algorithms
  • Potential for skills development in quantum computing
  • Collaborative environment with potential mentoring
Cons
  • Lesser emphasis on specific industry experience
  • Short-term nature of positions may deter long-term career seekers
  • Possible reliance on candidates with less experience

Who it's for

Entry / Mid-level • Collaborative, on-site team environment

Good fit
  • Recent graduates or those transitioning into quantum roles
  • Individuals eager to work in a team-oriented environment
  • Candidates wanting to develop quantum computing skills
Not recommended for
  • Senior experts looking for leadership roles
  • People preferring independent, remote work
  • Candidates seeking traditional software engineering roles

Motivation fit

Interest in building a career in quantum computingDesire to be involved in hands-on implementation and researchWillingness to learn and adapt in a pioneering field

Key skills

Programming (Python or equivalent)Basic understanding of algorithmsAbility to work in collaborative teams
Score: 76/100 AI verified analysis

About the job

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol, UK. In 2023 we completed a £13m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global, and in 2024 we opened our Washington DC office led by Steve Flammia.

Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, Rigetti, and QuEra – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialisation of high-value breakthroughs.

As we continue to grow and explore new areas of research an exciting opportunity has arisen to join our talented team as a Quantum Algorithms Engineer. In this role the ideal candidate will have experience in the implementation of advanced quantum algorithms or otherwise strong evidence of potential to contribute to this area. A background in quantum computing is not necessarily required nor is a track record of publishing scientific papers in this area; however the candidate should be able to demonstrate a keen interest in quantum computing through formal or independent studies.

Job Description

  • Implementing and evaluating advanced classical and/or quantum algorithms based on technical papers and research conducted by our team of Quantum Algorithms Scientists.
  • Working collaboratively in a small team made up of full-time staff and affiliated PhD students.
  • Other activities as required to support the growth and success of Phasecraft.

Essential criteria:

  • Good understanding of algorithms and algorithmic analysis.
  • Strong programming skills, including in Python.
  • Bachelor or Masters degree in Computer Science, Mathematics, Physics or closely related field.
  • Ability to work flexibly, independently, and to foster a pragmatic approach to producing efficient, workable code.

Desirable criteria:

  • Exposure to quantum computing and/or quantum information theory, via formal or independent studies.
  • Experience coding in quantum development environments (e.g. Cirq, Qiskit, QuEST) or in implementing quantum algorithms or novel classical algorithms on classical computers.
  • Either knowledge of quantum chemistry/materials science and experience coding with relevant computational packages such as Wannier90, PySCF; or otherwise experience with algorithms and software for combinatorial optimization such as Gurobi or SAT solvers.
  • Software engineering experience, including version control, CI/CD.

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