Quantum Software Engineer – Python
planqcStellenbeschreibung
- *Your mission**
- *algorithm research, simulation, and hardware execution**
As a
- *Quantum Software Engineer – Python**
- *high-quality, production-ready scientific software**
- *tensor network libraries**
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**
- *Your Responsibilities
- 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.
- *What You Bring
- 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.
- *Why join planqc**
- *quantum physics, engineering, software development, and business operations**
Joining planqc means becoming part of a
- *highly collaborative and interdisciplinary team**
- *real ownership of your work**
We aim to create an environment where people can
- *grow, stay curious, and do their best work**
- *trainings, conferences, and learning opportunities**
- *health and wellbeing benefits**
- *take on responsibility early and help shape both our technology and our culture**
We believe that building breakthrough technology requires
- *curiosity, openness, and strong collaboration**
If you’re excited about developing
- *high-performance software for quantum technologies**
- *About Us**
Founded in 2022 as a spin-off from MPQ and LMU Munich, we translate more than a decade of AMO research into deployable quantum systems. Our work spans vacuum and laser hardware, control electronics, firmware, system software and algorithm integration. We focus on turning complex experimental setups into stable, reproducible systems that operate in real computing environments.
Behind this technology is a team that pushes technical boundaries, values open exchange and shared ownership. Physicists, engineers, software developers and business specialists work closely together, often across disciplinary limits. We believe progress comes from combining deep expertise with practical engineering and from giving people the responsibility and trust to shape their domain.
As we grow across our locations in Garching, Ulm and Innsbruck, we continue to build an environment we continue to build a company where people take ownership, learn from each other, and directly shape the systems we bring into operation.
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