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OQC in London is seeking a Lead Platform Engineer to set the technical direction for our hybrid compute platform, uniting classical and quantum resources into a scalable system.
You will own architecture across CPUs, GPUs, simulators and QPUs, design stable interfaces, and drive engineering standards while remaining hands-on.
Collaborate with Product, Engineering, Commercial and leadership to deliver secure, observable workloads and future-proof infrastructure.
At OQC, we aren't just theorising about the future; we're building it. Born from a philosophy of bold innovation, we've successfully transitioned quantum computing from an academic dream into a commercial reality. The most exciting thing is that we're just getting started and we've recently closed our £260 million Series C funding round - the largest fundraise ever completed by a quantum computing company in Europe.
As Lead Platform Engineer, you'll set the technical direction for OQC's hybrid compute platform - the architecture connecting classical and quantum resources into a single, extensible system. You'll design the foundations that enable product teams to run secure, observable and repeatable workloads across CPUs, GPUs, simulators and QPUs.
Based in London, this is a senior, hands-on individual contributor role with significant ownership of OQC's hybrid compute architecture. You'll define stable interfaces across diverse compute resources, make critical architectural decisions and establish the engineering standards that allow the platform to scale.
You'll work across Product, Engineering, Commercial and leadership teams, while leading integrations with technologies and environments including Dell/AMD infrastructure, Databricks and QPU systems. You'll provide technical leadership without stepping away from the engineering—remaining close to the architecture, code and complex systems challenges that underpin the platform.
You will join a world-class team at the forefront of the next computational era. We offer a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation.