Software Engineer (Quantum Platform and Tools)

Strong experience in Python and modern software engineering practices. Comfortable with low-level programming (e.g., C++, Rust, C). Strong software engineering background: design patterns, data structures, algorithms, API design (REST), databases (SQL and NoSQL), documentation, integration tests. Understanding of functional programming concepts. Familiarity with quantum computing concepts: quantum circuits, measurements, observables, noise channels, error mitigation, error-correction, Quantum Machine Learning. Prior exposure to quantum SDKs (e.g., Qiskit, Cirq, PennyLane) and Quantum simulators. Hands-on experience with DevOps and infrastructure tools: Docker, Cloud environments (GCP and AWS), CI/CD workflows. Comfortable working remotely and asynchronously across time zones.

Design and implement hybrid quantum-classical workflow orchestration. Integrate error-mitigation techniques and develop quantum application primitives. Optimize system performance, including low-level implementations. Extend and maintain SDK, developer tools, APIs, and backend systems. Develop and optimize circuit transpilation and mapping strategies. Build and maintain hardware-integration layers for quantum providers. Evolve cloud infrastructure, CI/CD pipelines, and monitoring. Write tests, benchmarks, and documentation.