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Classiq Technologies is building the platform layer for quantum computing, enabling developers and enterprises to design, optimize, and deploy quantum algorithms at scale. The company works with Fortune 500 leaders and global governments to accelerate practical quantum computing applications.
You will join the execution product team, working on the systems that bridge quantum algorithms with hardware backends. This is a hands-on engineering role combining algorithmic problem-solving with systems engineering.
Key responsibilities:
- Develop functionality across the execution product, from output formats to backend execution logic
- Work with Classiq's native quantum language (qmod) to improve execution and integration
- Design and maintain formats for execution results across different quantum target architectures
- Evaluate and integrate different quantum simulators for scalable user delivery
- Debug complex, multi-component systems and trace issues across service boundaries
- Contribute to systems that run, orchestrate, and deliver quantum executions
- Collaborate with product, algorithms, and engineering teams to ship reliable, performant features
- Improve maintainability, observability, and robustness of the execution stack
Required qualifications:
- B.S. in Math, Physics, Computer Science, or Engineering
- At least 5 years of professional software engineering experience
- Strong algorithmic thinking and ability to reason about correctness, complexity, and edge cases
- Solid systems engineering background across services, processes, and infrastructure
- Proven ability to quickly dive into unfamiliar codebases and become productive
- Strong debugging skills in complex, distributed, or multi-layered systems
Bonus qualifications:
- M.S. in Math, Physics, Computer Science, or Engineering
- Background or experience in quantum computing
- Python proficiency
- Experience with execution engines, job orchestration, schedulers, or runtimes
- Experience designing or evolving structured output/serialization formats
- Comfort with performance analysis and profiling
