Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
We're a diverse team of 140+ brilliant minds from over 20 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!
The Calibration team automatizes calibrations of our cat‑qubit Quantum Processing Unit (QPU) to maximize performance and keep the processor in working conditions. As Calibration API Software Developer, you will develop and maintain the calibration API and helper libraries used by physicists to write automatic calibration blocks, analysis routines, and calibration reports. You will ensure these tools are robust, well‑tested, CI/CD‑friendly, and compatible with the internal acquisition software that controls the QPU.
Responsibilities:
Design and implement the Python API and helper libraries that physicists use to author calibration procedures: measurement primitives, analysis helpers, and report generators.Team up with physicists to develop the vision and implementation of automatic recalibrations.Coordinate the development of the architecture inside the rest of the software stackEnsure code quality and CI/CD compliance: enforce linting, type checking (pylint, mypy), unit tests, and integration tests.Provide examples, templates, and documentation so scientists can quickly write reproducible and testable automatic QPU calibrations.Generate automated calibration reports that include raw traces, fits, metrics, and provenance metadata.Support and triage issues from physicists: debug failing calibrations, improve error messages, and propose API improvements.ts.Collect feedback and iterate on the API to reduce friction and increase automation coverage.
Requirements:
5+ years experience developing scientific or instrumentation software, preferably in Python.Strong Python skills with experience in API design, type hints, and static analysis tools (mypy, pylint).Strong debugging skills and a pragmatic approach to balancing robustness and scientist productivity.Experience with testing frameworks (pytest), CI/CD systems, and writing integration tests.Experience producing clear documentation, examples, and developer tooling for non‑software specialists.
