This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
You will contribute to the design, development, testing, and maintenance of robust software systems used to control, acquire, process, and present scientific data. The software acts as the primary interface between advanced measurement hardware and its users, requiring dependable real-time behaviour, clear presentation of complex data, and strong engineering discipline.
Job Responsibility:
Design, develop, and maintain desktop-based software supporting data acquisition, processing, and analysis
Contribute to back-end logic, data handling, and system integration
Use Git with established branching and merge strategies
Maintain build and technical documentation
Write and maintain unit tests for critical code paths
Support CI/CD pipelines where appropriate
Track and resolve issues using tools such as GitHub Issues or Jira
Evaluate and integrate open-source libraries, ensuring appropriate licensing
Collaborate closely with hardware, firmware, and scientific engineering teams
Contribute ideas and improvements through technical reviews
Ensure all design and documentation complies with ISO 9001 standards
Requirements:
Experience with technologies such as Node.js, Express, Vue.js and Electron
Strong programming fundamentals and a solid understanding of software engineering principles
Experience building or maintaining desktop applications or system-focused software
Exposure to back-end or data-driven development
Comfortable working with structured data, real-time systems, or computation-heavy logic
Practical experience using Git and collaborative development workflows
Ability to learn new domains and work effectively within a small engineering team
Clear communicator, able to explain technical concepts to non-software specialists
Nice to have:
Background or strong interest in geophysics, geology, physics, engineering, or applied science
Experience with scientific instruments, test equipment, or data acquisition systems
Exposure to numerical methods, signal processing, or scientific data analysis
Experience working in multidisciplinary engineering teams (hardware, firmware, R&D)
Mentoring, knowledge sharing, or willingness to support junior colleagues