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Tres Cantos, ES
Software & AI Adoption Engineering Intern (Barcelona & Madrid)
Siemens Digital Industries Software · Tres Cantos, ES
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Software & AI Adoption Engineering Intern (PLM/MOM)
Strategic Student Program Spain 2026–2027
Siemens Software – #TransformTheEveryday
Based: Barcelona & Madrid, Spain / Hybrid, Part-time (20–35 hours per week) / 5.5 months (15th October 2026 to 31st March 2027)
Siemens Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are conceived and manufactured using our Product Lifecycle Management (PLM) software. We offer a role with responsibility, independence, and the opportunity to contribute proactively while working in a collaborative environment with room for continuous learning and professional growth.
Start your career with the Strategic Student Program (SSP)
The Strategic Student Program (SSP) is our global internship program at Siemens Digital Industries Software. You will be mentored by experienced professionals, gain practical experience on real customer projects, and work with cutting-edge technologies that support the digital transformation of manufacturing industries.
As an SSP intern, you will join an international student community, access structured learning through the Siemens Learning Hub, receive ongoing coaching, and contribute to meaningful projects within a global and diverse engineering team.
What you'll be doing as part of the PLM/MOM team in Spain
Our PLM and MOM consulting teams help customers implement Siemens software solutions such as Teamcenter, Opcenter and RD&L to manage engineering, manufacturing and product lifecycle processes.
As Artificial Intelligence becomes an increasingly important part of enterprise software, our team is exploring how AI can improve engineering productivity, software implementation, technical documentation, knowledge management and project delivery.
This internship offers the opportunity to help drive that transformation while learning from experienced Solution Architects and Implementation Consultants.
You will contribute to activities such as:
- Supporting the adoption of Siemens AI tools and Microsoft 365 Copilot within engineering projects.
- Assisting Solution Architects with software configuration and prototyping activities in Teamcenter, Opcenter and RD&L.
- Developing automation scripts for documentation, testing and engineering workflows.
- Building lightweight AI-enabled applications using modern development frameworks.
- Exploring Retrieval-Augmented Generation (RAG) techniques and semantic search over engineering documentation.
- Preparing and transforming technical data for AI-assisted analysis.
- Supporting the development of Teamcenter AI prototypes.
- Creating practical documentation, prompt libraries and best practices to encourage AI adoption across the team.
What we're looking for
We are looking for students in their final year of study, students completing their bachelor's or master's thesis, or recent graduates in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Telecommunications Engineering, Industrial Engineering, Organisation Engineering, Applied Mathematics, or related technical disciplines.
If you enjoy software development, Artificial Intelligence, automation and solving technical challenges while working in an international engineering environment, we'd love to hear from you.
Preferred Qualifications
- Good programming skills in Python and familiarity with Git.
- Basic understanding of object-oriented programming (Java, C# or C++ is an advantage).
- Interest in AI APIs, prompt engineering and large language models.
- Familiarity with SQL and relational databases.
- Knowledge of RAG concepts, embeddings or vector databases is a plus.
- Experience with Streamlit, FastAPI, React or similar frameworks is an advantage.
- Familiarity with Docker, Docker Compose and Linux/WSL environments.
- Curiosity about AI agents, orchestration frameworks such as LangChain or LlamaIndex, and modern enterprise AI architectures.
- Strong analytical thinking, communication skills, curiosity and willingness to learn.
- Fluent Spanish and sufficient English to work with technical documentation and international colleagues.
The Siemens Strategic Student Program (SSP) in Spain will run from 15th October 2026 until 31st March 2027 (5.5 months).
This is a part-time internship, with a workload ranging from 20 to 35 hours per week, depending on the student's university requirements and internship agreement.
Internships are paid. The monthly internship contribution ranges between €700 and €900, depending on the agreed working hours and the applicable university framework.
Where appropriate, students may also complete their bachelor's or master's thesis in collaboration with Siemens Digital Industries Software.
Eligibility
- Applicants must be enrolled at a university in Spain for the full duration of the internship.
- Both Spanish and international students studying in Spain are welcome to apply.
- Curricular and extracurricular internships are accepted, subject to the university's internship agreement.
- Students must have sufficient internship hours available within their academic programme.
- International students must hold the appropriate visa and/or work authorisation, as Siemens cannot sponsor or facilitate immigration processes for internships.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status or disability.
Transform the everyday and shape the future of your career with us
Siemens Digital Industries Software is your place to thrive. Whether you're a current student, recent graduate or postgraduate, our internship programmes provide the opportunity to work on real projects, learn from experienced professionals, build valuable technical skills and contribute to the future of industrial software and Artificial Intelligence.
#DISW
#SSP