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Classiq Technologies is building the software platform for practical quantum computing. The company bridges the gap between quantum hardware and real-world applications, enabling developers and enterprises to design, optimize, and deploy quantum algorithms at scale. Classiq is trusted by Fortune 500 companies, research institutions, and governments.
As a Quantum Software Engineer, you will design and develop the software infrastructure, APIs, and workflows that enable fault-tolerant quantum computing within the Classiq platform. This is a senior individual contributor role focused on transforming advanced quantum error correction research and prototypes into scalable, production-ready software.
Key responsibilities include:
- Design and implement software infrastructure for fault-tolerant computing workflows
- Develop APIs, libraries, and internal frameworks supporting quantum error correction and logical computing
- Collaborate with quantum error correction researchers and GPU engineers to transform algorithms into production-quality software
- Build scalable, maintainable, and well-tested systems
- Contribute to architecture and technical decision-making across platform components
- Integrate simulation, decoding, resource estimation, and execution workflows into the broader ecosystem
- Contribute to end-to-end demonstrations and customer-facing solutions
- Work closely with R&D, engineering, and product teams
Required qualifications:
- 5+ years of software engineering experience
- Strong Python development skills
- Experience designing and building production-quality software systems
- Strong understanding of software architecture, APIs, testing, and maintainability
- Experience with complex technical systems and large codebases
- Strong problem-solving and debugging skills
- Ability to independently lead technical projects from design through delivery
- Excellent communication and collaboration skills
Bonus experience includes scientific computing, SDKs/developer platforms, cloud-native systems, research collaboration, quantum computing concepts, and Python performance optimization.
