At Classiq Technologies, we're shaping the future of quantum computing. Our platform lets developers and enterprises design, optimize, and deploy quantum algorithms at scale, and is trusted by Fortune 500 leaders and global governments. Classiq is backed by 70 patents.

We're looking for a science-oriented software developer with a strong background in quantum information and quantum algorithms to help build our quantum compiler.

We hire across levels, from researchers emerging from strong M.Sc./Ph.D. programs to seasoned engineers.

The team is working on

• The Qmod language and its compiler toolchain: semantics, type system, intermediate representation, and the next-generation compilation pipeline - this is a production compiler
• The synthesis engine that lowers high-level programs into circuits optimized for width (qubits/ancillas), depth, and gate count under user constraints
• Implement and improve quantum synthesis algorithms from the literature: arithmetic, multi-controlled-gate synthesis, Hamiltonian simulation (Trotterization, qDRIFT), state preparation, uncomputation, and fault-tolerant compilation (Clifford+T, routing)
• Resource estimation for quantum programs
• Debugging tools for quantum programs, for example, a visual model of the high-level program that lets users inspect and troubleshoot what they wrote
• Compiler-pass performance and correctness, benchmarked against real algorithms (e.g., Shor's algorithm, quantum phase estimation, QSVT)

What you'll do

• Design and develop production-grade capabilities for the quantum compiler
• Own your code - it is production code that customers use to meet their goals
• Contribute to the architecture of the quantum compiler and the definition of our high-level quantum programming language
• Collaborate closely with product and algorithm teams to deliver production-ready quantum capabilities

Who you are

• M.Sc. or higher in Mathematics, Computer Science, or a related quantitative field, with a thesis or equivalent research experience
• Strong foundations in algorithms and complexity, plus the math underpinning quantum computing (advanced linear algebra, group theory, Hilbert spaces)
• 5+ years of software engineering experience
• Experience building production-quality software systems
• Strong understanding of software architecture, APIs, testing, and maintainability

Bonus points

• Machine learning, neural networks, or reinforcement learning - a significant plus (e.g. learned heuristics or RL for compiler and circuit optimization)
• Experience with Python performance optimization
• Experience with scientific computing or simulation software
• Prior experience in compiler development