Software Test Architect (AI Enablement) for Embedded Systems

Hexagon’s Infrastructure & Geospatial Business Area combines measurement, positioning, and mapping technologies to help geodata-dependent industries capture, measure, and visualise the physical world – turning data into actionable insights for better decisions and greater efficiency.

This appeals to you

• Defining and driving a testing and quality strategy across the full embedded stack from the OS layer and sensor integration up through the application-level C++ software and the APIs it exposes across our instrument platforms.
• Actively contributing to the development and implementation of test strategies, automation concepts, and quality processes.
• Proactively driving AI enablement as a cross-cutting principle across all responsibilities.
• Championing an automation-first approach by designing automation concepts and quality frameworks seamlessly integrated into CI/CD pipelines.
• Leading the design, setup, and continuous improvement of automated test infrastructure, including the ongoing maintenance of Hardware-in-the-Loop (HIL) test benches.
• Coaching and supporting the development teams in the implementation of the strategy for our software products to cover all quality aspects, such as performance & reliability.
• Close collaboration with development teams, product management and R&D management.
• Reporting on test results (incl. linkage to requirements and to test coverage) and further SW QA and business related KPI's.
• Ensuring that the architecture of test suites and frameworks remains robust, scalable, and fit for purpose.

This is you

• Strong software development skills in Python or another high-level programming language; experience with C#/.NET or C++ is a plus.
• Strong expertise in testing methodologies, automation frameworks, CI/CD integration, and quality engineering practices.
• Experience in test automation for embedded systems, such as Yocto-based platforms or RTOS environments such as Zephyr.
• Experience in designing and maintaining a lab infrastructure that enables local and remote access to embedded systems.
• Experience in API or contract-based automated testing methodologies.
• Experience with AI-assisted testing, including automated test generation, self-healing automation, and intelligent test optimization.
• Familiarity with AI driven quality analytics, predictive defect detection, and AI-supported defect analysis.
• Knowledge of agentic AI engineering for QA workflows, including evaluation and adoption of modern testing tools.
• High communication skills are mandatory and critical for success.
• Very open personality, driving things, self-organized, pro-active, reliable, having a strong attitude to "Getting things done".

We offer you

• Flexible annual working hours based on a 40-hour week
• 25 30 days of vacation, depending on age
• Hybrid working model
• Bonus system and extra-mandatory pension fund contributions
• Opportunities for personal and professional development
• Relocation support
• Employee discounts and various company events
• International working environment with collaboration across teams and countries