
Quantum Systems Integration Specialist
7 days ago
This role 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:- API Design: Design and implement API and abstraction layers for the software-hardware interface in our Loom library.
- Performance Optimization: Test and optimize performance across the full software-to-hardware execution flow.
- Cross-Team Collaboration: Collaborate with software teams to understand quantum program structures and execution requirements.
- Hardware Adaptation: Work with hardware specialists to adapt the interface to the specific architecture and constraints of target quantum devices.
- Integration and Debugging: Contribute to integration, debugging, and validation of quantum programs on real or simulated hardware.
- Design Discussions: Participate in cross-team design discussions for the software-hardware toolchain.
- Software Engineering: Strong software engineering skills, with experience in API design and integration layers.
- Quantum Computing: Familiarity with quantum computing concepts and basic understanding of quantum hardware architectures.
- Programming Languages: Proficiency in Python (experience with C++ is a plus).
- Collaboration: Demonstrated ability to work collaboratively in multi-disciplinary teams.
- Performance Profiling: Experience with performance profiling, benchmarking, and optimization.
- Hardware Familiarity: Strong willingness to learn and work hands-on with hardware.
- Version Control: Experience with version control tools (Git) and collaborative software development workflows.
- Hardware Control Stacks: Experience with hardware control stacks for quantum computers.
- Quantum Programming Frameworks: Familiarity with one or more quantum programming frameworks (Qiskit, Cirq, tket, Braket, etc.).
- Hardware-Specific Constraints: Understanding of hardware-specific constraints for superconducting, trapped-ion, photonic, or spin-qubit architectures.
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