Generic Development Engineer Internship R4

We are looking for a motivated Generic Development Intern with strong programming skills problem-solving capabilities and a solid understanding of electrical mechanical and control systems. The ideal candidate should be eager to adopt Generative AI and Agentic AI tools to accelerate development debugging learning and engineering productivity.

Role Description:

• Apply structured debugging techniques supported by AI-assisted tools when applicable to analyze hardware/software issues identify root causes and drive them to resolution.
• Develop configure integrate and test embedded software components using C/C for different microcontrollers and embedded platforms.
• Work on basic software hardware abstraction layers low-level drivers and peripheral interfaces such as ADC PWM SPI I2C UART CAN and LIN.
• Develop product-specific embedded application software based on system requirements customer needs and technical specifications.
• Perform unit testing integration testing debugging and validation activities to ensure software functionality robustness and compliance with project requirements.
• Leverage Generative AI and Agentic AI tools to improve development efficiency accelerate debugging automate repetitive engineering tasks and optimize workflows.
• Follow applicable embedded and automotive software development standards including coding guidelines software quality processes AUTOSAR concepts Functional Safety ISO 26262 and Cybersecurity ISO 21434 where relevant.
• Maintain high standards for code quality documentation traceability review readiness and testing coverage including compliance with MISRA C where applicable.
• Collaborate with requirements engineers system engineers hardware engineers testing teams and project stakeholders to ensure smooth integration from requirements to final delivery.
• Work effectively within Agile/Scrum teams by participating in daily meetings sprint planning reviews retrospectives and task tracking activities.
• Provide clear and regular status updates regarding progress risks blockers technical challenges and proposed mitigation actions.

Qualifications and Education Requirements:

• Bachelors degreein computer science Electrical Engineering or related field
• 01 year of experience in embedded software development. Internships graduation projects and academic projects are considered relevant experience readyto join immediately.
• Strong adoption of Generative AI tools good understanding of LLM fundamentals and hands-on exposure to Agentic AI workflows. Machine Learning knowledge is considered a plus.
• Strong proficiency in at least one programming language with the ability to write clean structured and maintainable code.
• Good understanding of microcontroller architecture including memory mapping registers interrupts timers and peripheral interfaces.
• Familiarity with embedded software concepts such as RTOS low-level software hardware abstraction layers and embedded debugging.
• Basic knowledge of AUTOSAR architecture AUTOSAR methodology and Functional Safety ISO 26262 is considered a plus.
• Strong analytical thinking problem-solving mindset debugging skills ownership and willingness to learn quickly.

What makes us special:

• International team with a collegial working atmosphere and motivating team spirit.
• Lived culture of innovation and Regular employee events.
• Continuous internal and external training.
• Outstanding benefits health insurance multiple optional allowances and pension plans.
• Flexible working hours work from home option to ensure Work-life balance.
• An environment where you can develop and grow your skills capabilities and future.

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Required Experience:

Intern