SW engineer trainee
HybridBudapest, Budapest, Hungary
Job Summary
Analyze and assess ADAS perception measurement data using specialized evaluation tools to support the definition of corrective actions and improvement concepts. Develop state-of-the-art perception and driver assistance functionalities by designing object-oriented, embedded real-time solutions and contributing to tracking algorithms. Participate in C++ based implementation and leverage AI-powered development tools to enhance code quality throughout the software development lifecycle. Collaborate daily with international teams while conducting ongoing university study in Computer Science, Engineering, Mathematics, Physics, or ML.
Required Qualifications
- Ongoing university study in Computer Science, Engineering, Mathematics, Physics, ML, or similar for at least one more year in Hungary
- Experience with data analysis
- Hands-on experience with C/C++
- Experience with software testing and scripting
- Analytical mindset and structured way of working
- Decent English
- Weekly 20 hours
Desired Qualifications
- Experience in automotive software development
- Embedded systems background
- Knowledge of software architecture, UML, and best practices
- Familiarity with Git, Jira
- Knowledge of low level signal processing or machine learning
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