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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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