Quantum Software Engineer
Role details
Job location
Tech stack
Job description
As a Quantum Software Engineer - Python , you will play a key role in translating advanced quantum algorithm research into high-quality, production-ready scientific software . Your work will focus on building and improving core components such as tensor network libraries , enabling efficient simulation, optimization, and integration across our quantum computing platform.
By combining modern software engineering practices with performance-oriented numerical computing, you will help ensure that innovative research ideas become reliable tools used throughout our quantum systems.
This role sits at the intersection of scientific computing, software engineering, and quantum technology , making it ideal for engineers who enjoy working on technically challenging problems with real impact., * Design, implement, test, and maintain Python-based software for quantum and quantum-inspired applications.
- Transform research prototypes into production-quality software , ensuring high standards of structure, readability, reliability, and maintainability.
- Develop and continuously improve tensor network libraries used for simulation and optimization tasks.
- Optimize numerical workloads and computational kernels to achieve high performance and scalability .
- Work closely with algorithm researchers and software engineers to translate scientific requirements into robust software components.
- Contribute to the integration of algorithm software into planqc's broader quantum computing software stack .
- Apply modern software engineering practices including version control, automated testing, benchmarking, and documentation .
- Participate in code reviews and collaborative development processes to maintain high engineering standards.
Requirements
- 3+ years of experience in professional software development.
- MSc in Computer Science, Applied Mathematics, Physics, Engineering , or a related field (or equivalent practical experience).
- Strong programming skills in Python and experience developing structured, maintainable software.
- Experience working with numerical workloads such as matrix operations, tensor operations, or scientific computing kernels.
- Familiarity with performance analysis and profiling tools .
- Experience with version control, CI/CD workflows, automated testing, and benchmarking .
- Strong communication skills and the ability to collaborate across research and engineering teams.
- Fluent in English .
Nice to have
- Experience with GPU programming (CUDA) and GPU-accelerated software development.
- Familiarity with cuBLAS, CUTLASS , or other optimized linear algebra libraries.
- Experience with HPC systems, parallel computing, or MPI .
- Experience with tensor network methods .
- Experience working in agile development environments .
- Contributions to open-source scientific software .
- Basic familiarity with quantum computing or quantum physics .
What characterizes you
- You think in systems and architectures , not just individual features.
- You take ownership of software quality and enjoy transforming experimental code into reliable engineering solutions.
- You balance pragmatism with technical excellence , knowing when to iterate quickly and when to invest in long-term maintainability.
- You enjoy collaborating across disciplines and translating scientific ideas into robust software .
- You value clear processes, testing, and documentation as part of sustainable software development.