Our Team
Leaders in AI for Quantum Computing
San Francisco, CA
We are a team of ambitious, deep-tech engineers building the AI systems that operate and scale silicon spin qubit quantum computers. Our mission is to transform these semiconductor quantum devices into reliable, commercially useful machines that anyone can use.
Meet Our Team
Brandon has spent half a decade developing AI for quantum computing in silicon. He was previously a postdoctoral researcher at Oxford, where he published four papers in Nature journals, including work on high-fidelity hot-silicon-qubit architectures, and helped develop the first AI algorithms that automatically form a qubit in a semiconductor chip. Brandon holds an MEng in Materials Science and a PhD from Oxford.
Joel founded Conductor after leaving his PhD at Oxford on machine learning for scaling quantum computers. Previously, he built full-stack, machine-learning–based control software for superconducting qubits at QuantrolOx, following machine learning and research roles at Quantum Motion, C12, and the London Centre for Nanotechnology. Joel holds an MSc in Physics from University College London.
Raymond previously worked at SpaceX as a guidance, navigation, and control software engineer. His code flew on 100+ Falcon 9 missions across the full rocket lifecycle, from simulation to landing. Before that, Raymond conducted robotics research at NASA and quantum machine learning research at Cornell. Raymond holds a BS in Physics and Computer Science from Harvard.
Open Roles
Don't see a role that fits or are you a potential partner? Reach out anyway, we're always looking to build with exceptional people.