Quantum Algorithms Engineer
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.
Requirements
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.
Benefits