Job Description

Posted 4 days ago

We are supporting a cutting‑edge deep‑tech company in London that is building full‑stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large‑scale optimisation workloads. Their technology is already deployed in multiple real‑world environments, and they’re now entering a major growth phase as they prepare to launch their next‑generation system.

This is a rare opportunity to work on production‑grade quantum‑classical systems, collaborating directly with physicists, hardware engineers, and platform specialists to bring advanced quantum capabilities into modern AI and data‑centre ecosystems.

You’ll join the core software team responsible for the systems layer that connects quantum hardware to classical compute infrastructure. This includes designing and optimising the software that orchestrates quantum control, manages low‑latency data paths, and ensures reliable operation in demanding environments.

You will:

Design, build, and optimise core systems software in Python (with C++ or Rust also valuable)

Own critical platform components, improving latency, throughput, reliability, and operability

Develop low‑latency interfaces between quantum hardware and classical compute systems

Work closely with physicists and hardware teams to integrate new platforms (FPGAs, lasers, scientific instrumentation) from prototype to production

Build and enhance CI/CD pipelines, observability tooling, and deployment workflows for on‑prem data‑centre environments

Profile and optimise system performance end‑to‑end, turning bottlenecks into measurable improvements

Influence architecture and technical direction through design proposals and pragmatic decision‑making

Raise engineering quality through code reviews, testing strategy, and maintainable interfaces

Collaborate cross‑functionally to translate customer and internal requirements into robust, production‑ready software

Support occasional out‑of‑hours work when systems require attention (no formal on‑call rota)

You don’t need to match every bullet; the team values curiosity, motivation, and the ability to dive deep into complex systems.

Strong software engineering fundamentals and experience shipping production systems

Proficiency in Python, plus working knowledge of C++ or Rust

Experience in one or more of, low‑latency systems, Linux systems programming, high‑performance networking, embedded development, GPU programming, and/or FPGA or hardware‑software integration

Comfort with modern engineering practices: code review, testing, Git, CI/CD

Ability to debug and profile complex systems (latency, throughput, resource utilisation)

Degree in CS, EE, physics, or similar,  or equivalent practical experience

Experience in commercial engineering or deep‑tech environments

For immediate consideration, please forward an up-to-date CV