Quantum Interface Engineer

1 day ago


Singapore beBeeQuantumInterface Full time $80,000 - $120,000
Quantum Interface Engineer Position

We are seeking a skilled Quantum Software-Hardware Interface Engineer to bridge the gap between our software stack and target quantum hardware platforms.

This position involves designing APIs and abstraction layers that connect our software to real quantum devices, ensuring seamless integration between software and hardware components. You will test, benchmark, and optimize the performance of the software-hardware pipeline, and work closely with both software developers and hardware specialists to adapt the toolchain to specific architectures.

Key Responsibilities:

  • Design and implement API and abstraction layers for the software-hardware interface in our Loom library.
  • Test and optimize performance across the full software-to-hardware execution flow.
  • Collaborate with software teams to understand quantum program structures and execution requirements.
  • Work with hardware specialists to adapt the interface to the specific architecture and constraints of target quantum devices.
  • Contribute to integration, debugging, and validation of quantum programs on real or simulated hardware.
  • Participate in cross-team design discussions for the software-hardware toolchain.

Required Skills:

  • Strong software engineering skills, with experience in API design and integration layers.
  • Familiarity with quantum computing concepts and basic understanding of quantum hardware architectures.
  • Proficiency in Python (experience with C++ is a plus).
  • Demonstrated ability to work collaboratively in multi-disciplinary teams.
  • Experience with performance profiling, benchmarking, and optimization.
  • Strong willingness to learn and work hands-on with hardware.
  • Experience with version control tools (Git) and collaborative software development workflows.

Preferred Skills:

  • Experience with hardware control stacks for quantum computers.
  • Familiarity with one or more quantum programming frameworks (Qiskit, Cirq, tket, Braket, etc.).
  • Understanding of hardware-specific constraints for superconducting, trapped-ion, photonic, or spin-qubit architectures.


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