Job Description: At Airbus Helicopters in Donauwörth, we are looking for a Embedded Software & AI Verification Engineer (d/f/m) to support current and future projects. Your workplace – Donauwörth: Our Donauwörth site, located on the banks of the Danube near Augsburg, develops helicopters from concept to flight-ready products. Join Airbus Helicopters and see our innovative products take off and land from our own airfield. What we offer: Exciting tasks on cutting-edge aerospace products, embedded systems, and AI-driven applications A collaborative and international working environment Excellent training opportunities and career development prospects On-site facilities: canteen, café, kiosk, and self-service market Good transport connections Work-life balance (job sharing, part-time, flexible working hours) Work in a diverse environment with over 140 nationalities, where every voice is valued Your key responsibilities: Collaboration with international, cross-functional teams to verify and validate safety-critical embedded software Review and analysis of software and system requirements to define effective verification approaches for embedded systems Developing, optimizing, and implementing test strategies covering traditional verification methods and AI-assisted test generation Designing, executing, and automating test cases for embedded systems (including AI-based tools) Supporting verification and validation activities in accordance with standards such as DO-178C Support in the preparation and processing of data sets for AI/ML-based test automation, including cleaning and labeling Support in the training, fine-tuning, and monitoring of AI/ML models to improve verification workflows (Python, TensorFlow, PyTorch, or scikit-learn) Development and maintenance of pipelines for model training, testing, deployment, and end-to-end software verification Analysis and troubleshooting of issues in embedded software for continuous improvement of verification processes and AI-assisted tools Ensuring software quality, security compliance, and robustness in real-time embedded environments Creation and maintenance of technical documentation Your profile / qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or a related field Practical experience in embedded software engineering and AI/ML development Strong programming skills in Python, C/C++, or other relevant languages Experience with AI frameworks (TensorFlow, PyTorch, scikit-learn) and real-time embedded deployment Knowledge of software verification, validation, and regulatory compliance processes Familiarity with Agile principles and Scrum practices Strong analytical, problem-solving, and debugging skills Languages: English – business fluent Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. Take your career to a new level and apply now online with your relevant documents (CV, short cover letter and certification for highest degree)! This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: AIRBUS HELICOPTERS DEUTSCHLAND GmbH Employment Type: Permanent Experience Level: Professional Job Family: Software Engineering By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.