Lead Systems Architect Fault-Tolerant Quantum Computing

Company Description:

Entropica Labs is a Singapore-based quantum computing software company creating the software layer to support fault-tolerant quantum error correction-the ability to actively remove errors from quantum computations and unlock the transformative applications of quantum computing. Entropica Labs empowers developers, researchers, and domain experts to accelerate the arrival and adoption of fault-tolerant quantum computing.

About the team:

Our team at Entropica Labs combines deep expertise in quantum computing, software engineering, quantum information, and advanced error correction methodologies to build essential tools for practical quantum error correction. If you are a creative thinker and problem solver passionate about tackling complex challenges, join us to shape the future of quantum computing.

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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