Software Engineer – Quantum Platform and Tools

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October 14

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Haiqu

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B2B • SaaS • Hardware

Haiqu is a technology company that builds careful software to support and improve physical hardware. The firm's messaging and site elements (book a demo, . ai domain, and the tagline “Clumsy hardware needs Careful Software”) indicate it provides software solutions—likely delivered to other companies—to integrate, manage, or optimize hardware products and deployments. Haiqu appears to operate as a B2B SaaS provider focused on hardware–software integration.

1 - 10 employees

🤝 B2B

☁️ SaaS

🔧 Hardware

📋 Description

• **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.

🎯 Requirements

• - Strong experience in Python and modern software engineering practices • - Be comfortable with low-level programming when needed (e.g. C++, Rust, C) • - Strong software engineering background, including: • - Design patterns • - Data structures and algorithms • - API design (REST) • - Working with databases (SQL and NoSQL) • - Writing documentation and integration tests • - Understanding of functional programming concepts (e.g. monoids, composition, higher-order functions) • - Familiarity with quantum computing concepts such as: • - 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

🏖️ Benefits

• We offer competitive compensation with significant equity and benefits. Join a diverse, flexible workplace building the future of quantum computing.