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Urgent! Lead Systems Architect – Fault-Tolerant Quantum Computing Job Opening In Singapore, Singapore – Now Hiring ENTROPICA LABS PTE. LTD.

Lead Systems Architect – Fault Tolerant Quantum Computing



Job description

An overview of this role

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.

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


Required Skill Profession

Other General



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