
Quantum Compiler Engineer
1 day ago
Entropica Labs develops advanced quantum computing software with a focus on quantum error correction, fault-tolerance, and scalable quantum computing workflows. Our flagship software library, Loom, is designed to support the development, simulation, and deployment of quantum error correction schemes on real-world quantum devices.
We are seeking a Quantum Compiler Engineer to help build and extend the compiler toolchain in Loom, enabling seamless integration between high-level logical gate descriptions and hardware-specific execution layers.
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Role Overview
In this role, you will design, develop, and maintain compiler infrastructure within Loom, bridging logical gate definitions and low-level machine dialects such as MLIR, QIR, and QASM. You will work closely with other team members to ensure that Loom's compiler toolchain is flexible, hardware-aware, and optimised for quantum error correction workflows. You will also help to develop optimisations for the compiler infrastructure.
Your work will involve both theoretical understanding of quantum error correction and practical knowledge of hardware-specific constraints in various quantum computing architectures.
Key Responsibilities
- Design and implement components of Loom's compiler toolchain, from logical gate representations to hardware-ready code.
- Integrate program definitions of logical gates with lower-level machine dialects, including MLIR, QIR, and QASM.
- Collaborate with QEC and hardware specialists to incorporate hardware-specific optimisations.
- Ensure compiler passes are modular, maintainable, and performant.
- Work on cross-layer integration, from quantum error correction abstractions down to hardware execution layers.
- Maintain documentation, tests, and developer guides for compiler components.
- Strong background in compiler development or programming language theory.
- Familiarity with quantum computing concepts, particularly quantum error correction.
- Experience with low-level compiler infrastructures and machine dialects (MLIR, QIR, QASM, LLVM-based frameworks).
- Proficiency in Python and experience with C++ for performance-critical components.
- Experience with version control tools (Git) and collaborative software development workflows.
- Hands-on experience with quantum hardware toolchains or simulators.
- Familiarity with multiple quantum computing architectures (superconducting, trapped-ion, photonic, etc.).
- Contributions to open-source compiler or quantum computing projects.
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