WHAT YOU WILL CONTRIBUTE

• Define orchestration requirements for active QEC in FTQC systems.
• Model Pauli frame propagation and design syndrome decoding interfaces to enable real-time active QEC.
• Design and specify I/O interfaces between syndrome decoders and orchestration software.
• Test and validate active QEC cycles on real quantum hardware.
• Analyse FPGA-based control systems to identify and implement performance improvements.
• Define integration strategies for combining HPC and classical orchestration with quantum node-level resource management.
• Collaborate with hardware teams, control engineers, and software developers to ensure architectural coherence.
• Contribute to technical documentation, architecture blueprints, and system specifications.

JOB REQUIREMENTS

• Strong understanding of quantum error correction principles and quantum system dynamics.
• Experience with modelling quantum systems or control processes.
• Experience with FPGA programming or low-level control systems is a plus.
• Familiarity with quantum compilers, decoders, and orchestration frameworks.
• Proficiency in Python; additional experience in hardware description languages (VHDL, Verilog) is advantageous.
• Comfort working across software and hardware teams to bridge theory and implementation.
• Strong communication and documentation skills.
• PhD or Master’s in Physics, Systems Engineering, or related technical discipline

This role focuses on designing and specifying the orchestration layer for large-scale, fault-tolerant quantum computers. You will help define how active quantum error correction (QEC) cycles, decoders, and control systems integrate into a coherent architecture that connects hardware, software, and HPC resources.
The role involves analysing Pauli frame propagation, designing I/O interfaces for syndrome decoders, implementing active QEC cycles on hardware testbeds, and evaluating FPGA-based control systems for performance improvements. You will also bring together the quantum node level (QPU, CPU, decoder) with higher-level orchestration across hybrid quantum–classical clusters. Success requires a strong physics background, systems-level thinking, and the ability to work with both quantum software and hardware.