Intern as a Digital-Twin Spacecraft Engineer (d/f/m) (AI)

Location: Immenstaad am Bodensee, Germany; onsite at the Airbus site in Immenstaad. Start as soon as possible; internship duration: 3–6 months.

Company

hirify.global develops digital engineering solutions for space missions and products through its Data Processing & Analytics department, working with aerospace, systems engineering, data science, software and project professionals.

What you will do

• Support the integration of CAD data and mechanical engineering processes into the space systems engineering knowledge base of a Digital-Twin platform.
• Analyze user needs and define building blocks for building and evaluating models and automating processes.
• Identify and collect data sources, prepare knowledge bases and implement data pipelines.
• Process and integrate mechanical engineering data with thermal and functional engineering artefacts.
• Implement dashboards, user interfaces and prompts aligned with end-user requirements.
• Define ontologies, test end-to-end solutions with subject matter experts, and support further Digital-Twin use cases and platform architecture.

Requirements

• Enrolled as a full-time student in aerospace engineering, systems engineering, data science, artificial intelligence, computer science, software engineering or an equivalent field.
• Enthusiasm for and understanding of the space business, with curiosity, proactivity and dedication to delivery.
• Good presentation skills and the ability to showcase work to aerospace engineers, technical experts, data scientists, managers and project managers.
• Knowledge of space systems engineering processes, methods and tools, including CAD, mission and system analysis, MBSE, and mechanical, thermal, electrical or functional engineering domains.
• Knowledge of ontology engineering and data modeling.
• Experience manipulating and analyzing data in Python.
• Understanding of software and big-data platform architecture, RAG, vector databases, data security, user access, hardware and agentic workflows.
• Knowledge of deep learning and LLM frameworks such as TensorFlow, PyTorch, Transformers and LangChain.

Nice to have

• Fluent English and German.

Culture & Benefits

• 35-hour work week with flexitime and work-life balance.
• Opportunity to complete a final thesis after consultation with the department.
• International environment with opportunities to network globally.
• Work with modern and diversified technologies and participate in the Generation Airbus Community.
• Tutor support for identifying professional objectives and developing skills.

Hiring process

• Submit a cover letter, CV, relevant transcripts and enrolment certificate through the online application.