Description

In this role, you will work with diverse teams to ensure the safety and reliability of embedded software. Daily tasks will involve developing test strategies, automating test cases, and enhancing AI/ML models to streamline verification processes.

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

Tools & Technologies

Benefits