Advance practical quantum computing through robust, production‑grade software.
Haiqu is building a world-leading software platform that enables previously impossible applications on modern quantum processors. Our full-stack approach has shown industry-first results in pilots with leading quantum early adopters. Backed by top investors, we offer a unique opportunity to join a fast-growing team and shape the development of the Quantum Computing software stack, allowing researchers and engineers to build meaningful applications without worrying about low-level intricacies.
We are looking for a Software Engineer (Quantum Platform and Tools) to contribute to the development of core components of our stack—from designing performant transpilation passes and hardware integrations to expanding our cloud‑native SDK and CI/CD pipelines.
Responsibilities
- Design and implement the hybrid quantum‑classical workflow orchestration. Integrate advanced error‑mitigation techniques, develop novel quantum application primitives, and optimize system performance (including low-level implementations where necessary).
- Extend and maintain Haiqu’s SDK, developer tools, APIs, and backend systems to deliver a seamless and robust quantum development experience.
- Develop and optimise circuit transpilation and mapping strategies tailored to the constraints of multiple quantum hardware back‑ends.
- Build and maintain hardware‑integration layers for a growing set of quantum providers.
- Evolve our cloud infrastructure, CI/CD pipelines, and monitoring to ensure secure, scalable, and reliable system performance.
- Write thorough tests, benchmarks, and documentation to maintain code quality and reproducibility across the stack.
Strong Plus:
- Basic quantum transpiler knowledge, such as:
- Quantum circuit optimization
- Gate decomposition and mapping
- DAG structures and graph manipulation
- Basis gate sets and device-specific transformations
- Experience working close to quantum hardware APIs. Experience of API-level interaction and understanding of device-specific properties (e.g., coherence times, gate fidelities, execution queues)
