Quantum Systems Scientist

Quantum is now, and it's built here.

Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we’re building the most powerful, accurate and reliable quantum systems to tackle problems that today’s supercomputers cannot solve.

Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact.

What to expect:

We are searching for a Quantum Systems Scientist to join our Systems team. This is a key role responsible for ensuring our quantum systems are continuously operational, scalable and robust, enabling cutting-edge experiments and development across the business.

You’ll play a central role in building tools and systems that monitor and improve uptime, troubleshoot downtime and drive technical changes to enhance system reliability. Working with complex optomechanical systems, this role will combine diagnosis of faults with systems-level thinking and collaborative problem solving across hardware and software teams. 

What you'll be responsible for:

As a Quantum Systems Scientist, you will play a critical role in ensuring the continuous operation and performance of our trapped-ion quantum systems. Your primary focus will be to maximise system uptime by enhancing diagnostic capabilities, identifying root causes of downtime and working collaboratively across engineering teams to develop robust, preventative solutions. You will be deeply involved in system-level analysis, building tools and dashboards to surface key performance indicators and helping shape the procedures and infrastructure that support our growing number of quantum systems. This is a hands-on, systems-oriented role that combines technical rigour with operational ownership.

Key responsibilities include:

• System diagnostics and monitoring - Expand and refine hardware and software diagnostics; log and visualise key parameters; implement sensors and build dashboards to enable rapid fault-finding.
• Downtime analysis and resolution - Analyse performance data to identify system bottlenecks or weak points; lead cross-functional efforts to design and implement robust engineering fixes.
• Preventative and reactive maintenance - Own and schedule maintenance plans; support and mentor technicians; debug complex system issues as they arise.
• Process and tooling improvement - Improve documentation, procedures and training for system maintenance and upgrades, including trap changes and routine operations.

• System design - Bring reliability to the core of future system designs, addressing current problems with engineering solutions.