Quantum Error Correction Engineer - W/M

Main responsibilities:

• QEC codes & protocols: Select, adapt, and benchmark quantum error-correcting codes and protocols under realistic neutral-atom hardware constraints, including detection, decoding, and correction strategies.

• Decoding & performance analysis: Develop and evaluate decoding approaches, and quantify QEC performance under realistic noise models.

• Logical error models & budgets: Develop and maintain logical error models and error budgets, and connect them with physical noise models, experimental data, and internal emulators.

• Logical operations: Contribute to the design and benchmarking of fault-tolerant logical operations and logical gate strategies.

• QEC-driven architecture inputs: Provide QEC-driven inputs to the design of future QPU architectures, including constraints on layout, zoning, connectivity, and operation scheduling.

• Simulation & emulation tools: Develop and maintain QEC simulation tools consistent with internal models and assumptions.

• Documentation and communication: Write reports, technical documents, and scientific articles.

• Intellectual property: Contribute to the identification and protection of patentable technical ideas.

• External representation: Represent the company at international conferences, workshops, and industry events.

• PhD or equivalent experience in quantum error correction, fault-tolerant quantum computing, or a related field.

• Strong understanding of quantum error-correcting codes, decoding methods, and fault-tolerant protocols.

• Interest in neutral-atom platforms and the ability to account for realistic hardware constraints in QEC studies.

• Strong programming skills for scientific computing (e.g., Python), including data analysis and simulation workflows.

• Experience in driving small technical projects, including planning, prioritization, and delivery, is a plus.

Soft skills:

• High level of autonomy and rigor.

• Ability to work at the interface between theory, numerical simulation, and experimental constraints.

• Proven ability to collaborate with multidisciplinary teams

• Strong communication and listening skills.

• Ability to prioritize and deliver in a fast-paced environment.

• Good level of written and spoken English