AI-Driven Embedded Software Intern (GenAI & RAG)

Aimlroles; Barcelona; On-site; EUR 8,900 - 13,000; Full time

Benefits offered by this job

Internship stipend

Job summary

Nissan Technical Centre Europe is offering an AI Internship for Embedded Software Development in Barcelona. You will explore Generative AI technologies, including RAG and AI Agents, to support software development and access to engineering knowledge.

The role focuses on building AI-guided solutions within embedded software processes, collaborating with engineers, documenting findings, and contributing to AI workflows in Model-Based Development.

Qualifications

• Student pursuing a Bachelor's or Master's Degree in AI, Computer Science, Software Engineering, Data Science or related disciplines.
• Interest in Generative AI, LLMs, RAG architectures, AI Agents, software development.
• Programming knowledge in Python or similar languages.
• Strong analytical and problem-solving skills.
• Fluent English.

Responsibilities

• Contribute to the development of an AI-guided solution for Embedded Software Development based on current engineering processes.
• Support investigation and application of RAG technologies to access relevant technical information and engineering documentation.
• Explore AI Agent technologies to assist software developers during design and development activities.
• Assist in defining AI-based workflows for Model-Based Development software components.
• Collaborate with engineering information sources and document findings and recommendations for future AI deployment.

Skills

Python

AI/ML concepts

Analytical thinking

English fluency

Education

Bachelor's or Master's student in AI/CS/SE/Data Science

Tools

Git

Job description

Nissan Technical Centre Europe is offering an AI Internship for Embedded Software Development in Barcelona. You will explore Generative AI technologies, including RAG and AI Agents, to support software development and access to engineering knowledge.

The role focuses on building AI-guided solutions within embedded software processes, collaborating with engineers, documenting findings, and contributing to AI workflows in Model-Based Development.