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Classiq Technologies is a quantum software company providing a full-stack platform for designing, compiling, and running quantum algorithms. The platform includes an IDE, high-level language, compiler, and execution stack, backed by 70 patents.
As a Quantum Compilation Product Engineer, you will bridge research, product, and engineering to shape the technical direction of Classiq's compilation stack and quantum library. You will identify high-impact advances in quantum compilation, optimization, algorithms, and software abstractions, then translate them into shipped platform capabilities.
Key responsibilities include:
- Identifying, evaluating, and prioritizing emerging techniques in quantum compilation, optimization, algorithms, and software abstractions
- Translating research insights into product direction, technical specifications, benchmarks, and shipped capabilities for the compiler, language, and library
- Collaborating across compiler, algorithms, applications, and product teams to align technical capabilities with user and market needs
- Communicating technical direction through analyses, specifications, documentation, and presentations to internal stakeholders and external developers
- Potentially engaging in external research collaborations, publications, patents, or experiments on real quantum hardware
Required qualifications:
- PhD or MSc/MA in Quantum Information, Physics, Applied Mathematics, Electrical Engineering, Computer Science, or closely related technical field
- Hands-on software development experience with strong software design skills
- Proficiency in Python, C++, and/or Rust
- Strong understanding of quantum computing, quantum algorithms, compilation, and optimization techniques
- Ability to translate technical ambiguity into product direction, specifications, and delivery plans
- Clear communication skills with researchers, engineers, customers, and product stakeholders
- Ability to technically research and assess competitors and the market
Bonus qualifications include research experience in quantum algorithms, quantum compilation, circuit optimization, or quantum error correction; familiarity with quantum programming frameworks such as Qmod, Qiskit, and PennyLane; and exposure to DSL design, embedded languages, heterogeneous programming models, ML compiler stacks, and general compiler technologies.
