AI that operates quantum computers for scientific discovery. Backed by Y Combinator.
About the role
You will work across the full neutral atom stack: from developing the calibration that makes a tweezer array run itself, all the way to hosting it online as a platform that human researchers and AI agents can build on. This is a high-impact, high-ownership role. You will define best practices, influence product strategy, and help lay the foundation for Conductor Quantum's culture and growth.
What they're looking for
- Map the neutral atom calibration problem end to end, from first trapping through rearrangement, gates, and readout. Define which parts a calibration platform should automate first, and in what order
- Sit with customers and partners to see where neutral atom control inefficiencies become bottlenecks for their productivity. Pick the friction point that annoys you most and architect a solution
- Develop your first automated characterization and calibration loop that adjusts calibration parameters based on experimental results
- Stand up automated control for a complete sub-pipeline, such as trapping through single-qubit operations, as the foundation for full trapping-to-gate automation
- Ship your first contribution to the automated calibration routines. Start with trap depth homogenization across sites, imaging and readout calibration, or Raman gate tuning
- Fix the friction point you found in your first month, and propose the highest leverage things the team can do in neutral atoms
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 realize. 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 across qubit platforms, turning raw 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 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...
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