SAP SuccessFactors iXp Intern - AI Software Engineer (SUMMER 2026)
About The Position
The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers. This is more than an internship; it’s the foundation for a career built on connection, creativity, and impact. Interns will work on a variety of AI Software Development and Performance Analysis tasks. Some example tasks include: Design and develop full‑stack AI-driven solutions for automated performance analysis across SAP SuccessFactors. Build innovative tools using cutting‑edge Agentic AI, GenAI, and cloud‑native tech to detect, report, and resolve product performance issues. Analyze AI and product workflows to automatically identify performance problems and anti‑patterns. Create AI-powered solutions for automated generation of MUPT performance testing scripts. Adopt the latest open-source tools and technologies for use in SAP context Perform debugging, problem solving and resolving defects / bugs as required Apply technical knowledge to challenging programming and design problems Demonstrate a passion for developing well-architected, elegant software tools and services, incorporating recent AI and software technological advancements You’ll join a collaborative, energetic team that emphasizes mentorship and continuous learning. Interns work side‑by‑side with senior software engineers and architects, receive daily guidance, and are encouraged to take ownership of meaningful deliverables. This is a hands‑on role where you’ll gain real-world experience and rapid professional growth. Expect broad exposure to cloud‑native full‑stack development and modern performance engineering practices. Typical learning areas include AI/ML systems, GenAI and Agentic AI, Kubernetes and containerization, and performance analysis techniques. The team’s portfolio is highly innovative—recent work includes three AI/ML patents, more than ten active projects, and frequent collaboration across engineering and operations teams to analyze customer data and resolve real customer issues.
Requirements
- Currently enrolled in a bachelor's or college degree.
- Experience in Full-Stack development using any cloud native programming language (Java, Python, Go)
- Experience working with AI/ML, GenAI, assessing their benefits and shortcomings against an end-to-end workflow
- Experience in having optimized or analyzed any component or API in a software application for performance, reliability or scalability
- Proficiency in programming languages such as Java, Python, and Go. It is strongly encouraged to have knowledge and understanding regarding the fundamentals of your chosen language’s execution implementations and its effects on a given software product
- Experience with cloud platforms (e.g., Azure, GCP, AWS) and containerization technologies (e.g., Docker, Kubernetes)
- Knowledge of basic Performance Engineering concepts and Performance KPIs
Nice To Haves
- Computer science or Computer engineering focus area
- Experience with Agentic AI is a plus
- Adopting AI or machine learning for automated analysis of a given real-world or software task
- Frontend experience, including JavaScript / Node.js, React experience is a plus
Responsibilities
- Design and develop full‑stack AI-driven solutions for automated performance analysis across SAP SuccessFactors.
- Build innovative tools using cutting‑edge Agentic AI, GenAI, and cloud‑native tech to detect, report, and resolve product performance issues.
- Analyze AI and product workflows to automatically identify performance problems and anti‑patterns.
- Create AI-powered solutions for automated generation of MUPT performance testing scripts.
- Adopt the latest open-source tools and technologies for use in SAP context
- Perform debugging, problem solving and resolving defects / bugs as required
- Apply technical knowledge to challenging programming and design problems
- Demonstrate a passion for developing well-architected, elegant software tools and services, incorporating recent AI and software technological advancements
Benefits
- Paid internship program
- Constant learning, skill growth
- Great benefits
- Team that wants you to grow and succeed
- Mentorship and continuous learning
- Personalized mentoring, coaching, and career development support
- Endless learning resources
- Future-ready skills from a variety of virtual, in-person, and hybrid learning sessions
- Culture of inclusion, focus on health and well-being, and flexible working models
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
