Software Engineer (Quantum Simulations)

Cambridge
Science & Technology – Quantum Software /
Full-time /
Hybrid
Quantinuum seeks a software engineer to join our Cambridge-based quantum software team.  You will have a key role in the design and implementation of a new high-performance quantum simulator.  This will involve learning new algorithmic techniques and exploiting the latest technology to realise them.  You’ll be working closely with researchers and engineers both in the UK and the US.

This position requires a background in computer science or scientific computation. The position involves software development primarily in C++ and Python. You will be collaborating with a small team, and will have input in the entire development process through research, design, programming and testing. You will have the freedom to think independently and creatively in the team and make a real impact.

Key Responsibilities

    • Design, implement, test, deploy, and maintain software using a variety of languages.
    • Translate technical/advanced research material and new ideas into code.
    • Develop new computational methods.
    • Manage project priorities, deadlines, and deliverables

Requirements

    • Comfortable and experienced working on software with a team, and writing code ideally Python and C++ that can be understood by others.
    • Experience with collaboration tools (e.g. version control, bug tracking systems) and general programming tools (e.g. a debugger, profiler, software testing tools).
    • A strong record in software engineering in the framework of theoretical, computational or mathematical physics, chemistry, materials science or applied mathematics.
    • A 2:1 degree or higher in Mathematics, Computer Science, Science, or Engineering

What We Value

    • Knowledge of quantum computing, simulation of quantum systems, and/or tensor networks.
    • Ability to communicate complex technical ideas clearly.
    • Experience of numerical methods in scientific computing.
    • Experience of high-performance computing and familiarity with MPI and related tools.
    • Experience of GPU computing and familiarity with CUDA