Quantum Algorithms Engineer

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., * 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.

• 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.