Quantum Engineer; Superconducting - Member of Technical Staff

Conductor Quantum is building quantum superintelligence.

Quantum superintelligence is an AI that uses quantum computers to surpass the capabilities of humanity's greatest minds. We are closer to that inflection point than most people realise. Frontier models are approaching general intelligence, and AI can already generate quantum circuits faster than humans can write them. The question is no longer whether quantum and AI converge; it is who builds the infrastructure to make that convergence reliable, scalable, and useful.

That infrastructure starts with the hardware. The biggest bottleneck in quantum computing today is not qubit count; it is the manual configuration that keeps those qubits from being usable. Our software automates calibration and operations for spin and superconducting‑qubit systems, turning raw cryogenic hardware into a stable, ready‑to‑run platform accessible through a simple chat interface. By solving that bottleneck, we are enabling thousands, and eventually billions, of qubits to operate reliably at scale.

The result is a quantum computer as easy to use as ChatGPT. The first billion users are coming. The majority, we believe, will be AI agents.

Today, AI generates production code faster and more reliably than most of the world's software engineers. Code is math; math is an instruction set; an instruction set is a quantum circuit. AI is already generating quantum circuits. It just needs reliable hardware to run them on, well‑calibrated qubits to utilise, and a feedback loop tight enough to discover new algorithms autonomously.

The world's most capable AI models are being pointed at B2B SaaS. We are pointing ours at the frontier of science.

Conductor Quantum has deep roots in automating spin‑qubit calibration. Demand from partners and the market is pulling us into superconducting systems, and we are expanding our product and lab capabilities accordingly. You will work across the full quantum stack, from taking a superconducting‑qubit device from early bring‑up all the way to hosting it online as a platform human researchers and AI agents can build on.

We are looking for someone excited to lead superconducting efforts while remaining comfortable working across modalities. We reuse the best ideas across the stack.

Take superconducting‑qubit devices from post‑fab packaging to operational readiness. Own chip mounting and cryogenic assembly including wire bonding, shielding, and thermalization. Design or adapt microwave‑compatible PCBs and enclosures for clean signal routing, filtering, and integration with control electronics.

Build and maintain dilution refrigerator measurement setups including fridge wiring, line commissioning, and system verification. Specify, install, and test microwave and cryogenic hardware such as attenuators, filters, isolators, circulators, switches, and low‑noise amplifiers. Develop robust procedures for cooldowns, thermal cycling, and system diagnostics to maximise uptime and repeatability.

Run core calibrations including resonator and qubit spectroscopy, Rabi/Ramsey/echo, T1/T2, readout optimisation, and two‑qubit gate calibration. Track key metrics like coherence, readout performance, and calibration time, and drive them upward over time. Debug and mitigate issues such as spurs, crosstalk, leakage, TLS effects, thermal population, and wiring or component failures.

Lead setup and scaling of the experimental lab environment from equipment selection to day‑to‑day reliability. Write or adapt control software to interface with AWGs, microwave sources, DC sources, digitizers, and FPGA‑based controllers. Build experiment orchestration and data practices so calibrations are reproducible and automatable.

Work closely with physicists, ML engineers, and backend developers to integrate hardware, software, and data into a unified quantum control stack. Provide fast, practical feedback on usability, stability, and performance. Help translate…