AI that operates quantum computers for scientific discovery. Backed by Y Combinator.
About the role
As a Member of Technical Staff you will shape Conductor's core offerings: AI software that controls quantum hardware. From agentic quantum algorithm discovery and circuit generation code tools, all the way down to calibration and control of low-level qubit pulses. You will architect, build, and maintain the next-generation control and calibration stack. You will also build and maintain the first natural language interface for quantum computing, suitable for both human researchers and AI agents.
What they're looking for
- Get deep on the current calibration stack, data pipelines, and customer integrations
- Pair with the quantum engineers on at least one hardware-facing task, and see the lab realities your software serves
- Design the system architecture for the AI-to-QPU integration layer, the interface between agents and quantum hardware that no one has built yet
- Ship your first meaningful improvement to the calibration pipeline or the natural language interface
- Identify the single highest leverage engineering improvement, and align the team on it
- Have a clear architectural proposal for the next phase of the software stack
More about this role
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...
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