Software Test & Verification Engineer - Quantum Computing

Siegen, Nordrhein-Westfalen, Germany February 25, 2026

eleQtron develops and operates full-stack quantum computers based on trapped-ion technology. Quantum computing is a new computing paradigm rapidly approaching commercial viability. Our unique approach combines laser-cooled trapped ions with microwave control and tailored magnetic fields. Our next-generation computing machines under development will be able to find solutions to problems that are out of reach today, thus enabling new innovative products and services for a brighter future.  

Responsibilities: 

As a Software Engineer – Test & Verification (f/m/d), you will be part of a team with a mission to develop, set up and operate our trapped-ion quantum computers and relevant test devices. In this position, you will contribute to the development and maintenance of the software while getting in touch with eleQtron hardware. The ideal candidate will have a strong background in software testing, quality assurance practices, and proficiency in Python. This role involves ensuring the reliability, performance, and overall quality of our cutting-edge quantum control software. This is an on-site position, and you will collaborate closely with our international team of physicists and engineers from different disciplines. Depending on your level of experience, you will work on one or more of the following tasks:

  • Develop, implement, and maintain automated test solutions for complex quantum computing software using Python and Pytest 

  • Design, execute, and integrate test cases into CI/CD pipelines to enable continuous validation of software components 

  • Develop and manage functional, integration, regression, and system-level tests for control software interacting with quantum hardware 

  • Validate APIs used for hardware control, simulation, and orchestration through automated functional and integration testing 

  • Execute verification and validation tests on real hardware 

  • Validate APIs used for hardware control, simulation, and orchestration 

  • Automate test execution and result analysis to streamline the software verification process 

  • Perform bug tracking, categorization, and root cause analysis, working closely with developers to resolve issues efficiently 

  • Conduct performance, stress, and security testing to assess software efficiency and identify vulnerabilities including latency, throughput, and long-running stability tests for control APIs and hardware interaction layers 

  • Ensure compliance with industry standards through structured software integration testing (SWIT) and software qualification testing (SWQT) 

  • Continuously improve testing methodologies, tools, and frameworks to enhance software quality and development speed 

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