Startups · AI

Quantum Engineer (Superconducting)

Conductor Quantum · San Francisco, CA, US · On-site

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About Conductor Quantum

AI that operates quantum computers for scientific discovery. Backed by Y Combinator.

About the role

You will work across the full quantum stack: from taking a superconducting qubit device through early bring-up, 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

  • Get fluent in the calibration software stack and understand how it maps to superconducting hardware
  • Lead your first cooldown and characterization run, from resonator spectroscopy to single-qubit randomized benchmarking
  • Sit with customers and partners to see where the platform breaks down for them. Pick the friction point that annoys you most
  • Own a qubit bring-up cycle end to end, from packaging to two-qubit gates
  • Ship your first contribution to the automated calibration routines. Start with spectroscopy, readout optimization, or two-qubit gate tuning
  • Fix the friction point you found in your first month, and propose the highest leverage things the team can do in superconducting qubits
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...

Read the full posting on Conductor Quantum's site ↗

Engineering

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