1. Program Overview:
Our internship program provides university students with handson experience in real industrial product development. Interns will work directly with senior engineers, participate in agile workflows, and contribute to real features, tools, and research activities. The program offers four specialized tracks:
- Android Software Engineering
- Solution Software Engineering
- Embedded Software Engineering
- Automation Test Engineering
Each track offers indepth training, mentorship, and project-based learning tailored to the required technical skillsets.
2. Benefits for Students:
- Real-world experience working with industrial hardware, scanners, embedded systems, Android frameworks, and enterprise software.
- Mentorship from experienced engineers.
- Hands-on project assignments enabling interns to contribute to production-level software. Soft skills development: agile methodologies, documentation practices, teamwork, code reviews.
- Opportunity for full-time employment for high-performing interns. Exposure to international engineering processes.
3. General Requirements for Students:
- Currently pursuing a degree in Computer Science, Computer Engineering, Electronics Engineering, Mechatronics, or related fields.
- Basic understanding of programming concepts and data structures.
- Familiar with software versioning system as Git Willingness to learn new technologies.
- Good communication skills.
- Passion for building real products and solving technical problems.
Android Software Engineering Internship
Requirements:
- Knowledge of C/C++, Java/Kotlin, Python or other scripting language. Understanding of Object-Oriented Programming.
- Familiarity with software design process and patterns.
- Knowledge of Embedded Linux, Android architecture, Android Applications development is Prefered.
- Knowledge of Unit Testing, Instrument testing, Tradefed Framework is Prefered.
- Knowledge of On the Edge AI models, AI training process and Inference engine is Prefered.
Develop DTS Tradefed Test for Datalogic Customization
Goal
- Develop and integrate DTS Tradefed automated tests to validate Datalogicspecific customizations on Android platforms.
- Descriptions Designing and implementing Tradefed test modules to verify the behavior and stability of Datalogic customization features.
- Creating automated test cases using DTS/Tradefed to improve test coverage, execution consistency, and reliability across Android OS version and platforms.
- Ensure the new test cases support regression detection of incompatible or malfunction of Datalogic customizations accross Android OS version and platforms
