Contract Type: Full-time, Permanent
Location:Cambridge, UK
Visa Sponsorship available
Join Nu Quantum - Shaping the Future of Technology
Nu Quantum is at the forefront of quantum computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries of what’s possible.
Founded to commercialise research generated over the last decade at the Cavendish Laboratory, Nu Quantum is on a mission to shape the future of quantum information systems.
We’re working on exciting technology that will improve the utility and accelerate the time-to-market of quantum computing systems. We integrate novel quantum photonic technology to form an efficient and scalable quantum networking infrastructure in partnership with world-leading companies and academic groups.
About the role
As a Quantum Control Scientist within our Atomic, Molecular & Optical (AMO) team, this role operates at the intersection of physics and engineering, commissioning and developing the real-time control layer that drives our in-house trapped-ion quantum processing units.
Our experimental control systems are built on the ARTIQ platform, providing a real-time and flexible orchestration of complex hardware. The position involves designing and implementing reliable workflows for time-critical data acquisition and stabilisation protocols, interfacing primarily in Python with diverse systems such as custom electronics, laser and RF hardware.
We are looking for a creative problem-solver to work in a hands-on lab environment. You will develop and optimise real-time control software tightly integrated with experimental instrumentation. Collaboration with physicists, engineers and software specialists is central to the role, contributing to a high-quality, maintainable code-base, while ensuring your solutions are robust, scalable and future-proof within our rapidly growing company.
Responsibilities
- Develop and manage real-time orchestration of experimental hardware with the open-source ARTIQ platform.
- Integrate and control custom hardware (e.g. boards from electronics and FPGA teams), and third-party hardware, primarily using Python.
- Monitor experimental parameters and automate their analysis to reduce manual overhead and improve repeatability.
- Commission, document and train team members on hardware and software systems.
- Collaborate closely with physicists and engineers to meet technical and performance objectives.
- Develop graphical user interfaces for experimental control, real-time monitoring, and data visualisation.
- Coordinate with the software team to standardise workflows, upholding company-wide best practice for maintainable and scalable code.
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