You're a student or recent graduate ready for a full-time, structured experience at SAP. You're curious, resilient, and adapt well when things change. You communicate clearly, collaborate across teams, and bring creative thinking to problems. You're developing your business and AI foundations — and you take initiative to deliver results. You bring emotional intelligence and cultural awareness to your work and your team.
You have a solid grounding in AI/ML algorithms, concepts, and techniques, and are comfortable working with Python. You understand the basics of cloud or microservices-based software architecture. You approach problems analytically, propose solutions pragmatically, and have the drive to take new ideas from concept to execution.
You'll join a team working on live priorities and gain cross-functional exposure through the IXP programme. Your mentors will guide you, and you'll set and deliver real goals.
During your internship you will be part of SAP Next Gen, a global network of early career talent connected through events, peer learning, and shared ambition. Your internship is a launchpad built on real skills and lasting connections.
Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or complete your application, please send an email with your request to the Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
SAP Labs are research and development locations that build and improve SAP core products. The Lab in Brno operates across four major development areas — Globalization Services, Application Innovation Services, S/4HANA User Experience, and S/4HANA Finance — working directly with the latest technologies including cloud-based applications, in-memory computing, and advanced AI.