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Embedded Software & AI Verification Engineer(m/w/x)
Testing and validation of safety-critical system firmware for aerospace, using machine learning for test generation. Experience with machine learning frameworks and real-time system deployment essential. Work on cutting-edge aerospace products.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or 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
Tasks
- Collaborate with international, cross-functional teams to verify and validate safety-critical embedded software
- Review and analyze software and system requirements to define effective verification approaches
- Develop, optimize, and implement test strategies using traditional verification methods and AI-assisted test generation
- Design, execute, and automate test cases for embedded systems, including AI-based tools
- Support verification and validation activities in accordance with standards such as DO-178C
- Prepare and process data sets for AI/ML-based test automation, including cleaning and labeling
- Assist in training, fine-tuning, and monitoring AI/ML models to enhance verification workflows using Python, TensorFlow, PyTorch, or scikit-learn
- Develop and maintain pipelines for model training, testing, deployment, and end-to-end software verification
- Analyze and troubleshoot issues in embedded software to improve verification processes and AI-assisted tools
- Ensure software quality, security compliance, and robustness in real-time embedded environments
- Create and maintain technical documentation
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C/C++
- TensorFlow
- PyTorch
- scikit-learn
Benefits
Family Support
- Work-life balance
Diverse Work
- Exciting tasks on cutting-edge aerospace products
Informal Culture
- Collaborative and international working environment
- Diverse environment with over 140 nationalities
Learning & Development
- Excellent training opportunities
Career Advancement
- Career development prospects
Other Benefits
- On-site facilities
Parking & Commuter Benefits
- Good transport connections
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Embedded Software & AI Verification Engineer(m/w/x)
Testing and validation of safety-critical system firmware for aerospace, using machine learning for test generation. Experience with machine learning frameworks and real-time system deployment essential. Work on cutting-edge aerospace products.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or 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
Tasks
- Collaborate with international, cross-functional teams to verify and validate safety-critical embedded software
- Review and analyze software and system requirements to define effective verification approaches
- Develop, optimize, and implement test strategies using traditional verification methods and AI-assisted test generation
- Design, execute, and automate test cases for embedded systems, including AI-based tools
- Support verification and validation activities in accordance with standards such as DO-178C
- Prepare and process data sets for AI/ML-based test automation, including cleaning and labeling
- Assist in training, fine-tuning, and monitoring AI/ML models to enhance verification workflows using Python, TensorFlow, PyTorch, or scikit-learn
- Develop and maintain pipelines for model training, testing, deployment, and end-to-end software verification
- Analyze and troubleshoot issues in embedded software to improve verification processes and AI-assisted tools
- Ensure software quality, security compliance, and robustness in real-time embedded environments
- Create and maintain technical documentation
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C/C++
- TensorFlow
- PyTorch
- scikit-learn
Benefits
Family Support
- Work-life balance
Diverse Work
- Exciting tasks on cutting-edge aerospace products
Informal Culture
- Collaborative and international working environment
- Diverse environment with over 140 nationalities
Learning & Development
- Excellent training opportunities
Career Advancement
- Career development prospects
Other Benefits
- On-site facilities
Parking & Commuter Benefits
- Good transport connections
About the Company
AIRBUS HELICOPTERS DEUTSCHLAND GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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