Workflow Engineer - Calibration (H/F)

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 200+ brilliant minds from over 30 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 automates the calibration of our cat-qubit quantum processing unit (QPU) in order to optimize its performance and keep the processor in operational condition. As a Calibration Workflow Engineer, you will design and implement the main controller that runs QPU performance tests and the automatic recalibration DAG, applies policies and quality controls, and provides robust workflows for automatic recovery and manual intervention. You will work closely with quantum experimentalists, backend engineers, and the analytics team to make calibrations reliable, auditable, and production-ready. Responsabilités:

Design and implement the architecture managing the DAG controller and the orchestration layer for initial and periodic recalibrations.

Define node semantics: inputs, outputs, idempotence, delays, retries, and safe rollback behavior.

Implement a policy engine for top-down controls and conditional decision trees that trigger recalibrations.

Develop operator workflows for pause, diagnostics, suggested fixes, and resuming from failed nodes.

Collaborate with experimentalists to translate calibration procedures into robust orchestration primitives.

Ensure reliability through automated testing (unit, integration, hardware-in-the-loop) and runbook automation.

Requirements:

At least 5 years of experience in software engineering, ideally on production orchestration or workflow systems.

Strong Python skills; experience developing reliable control software for hardware.

Experience with workflow/DAG frameworks (e.g., Airflow, Prefect, or custom orchestration).

Proven track record with fault-tolerant systems, including retries, idempotence, and observability.

Knowledge of instrument and hardware control interfaces (SCPI, VISA, gRPC, serial) or willingness to learn.

Experience with hardware-in-the-loop testing strategies and CI/CD pipelines.

Excellent communication skills and ability to collaborate with experimental scientists.