Diebold Nixdorf Technology Solutions Intern 2026 | AI, Python & Automation Internship for CSE Students

Diebold Nixdorf Technology Solutions Intern 2026 | Apprentice 2026 | AI, Python & Automation Internship

Diebold Nixdorf is hiring Technology Solutions Interns / Apprentices for its Hyderabad location. This is an exciting opportunity for Computer Science Engineering students who are passionate about Artificial Intelligence, Generative AI, Python Development, Automation Frameworks, Software Engineering, and Developer Productivity Tools.

The selected candidates will work closely with cross-functional R&D teams to build AI-powered agents, automation platforms, engineering productivity tools, and software solutions supporting hardware research and development initiatives. This internship provides hands-on exposure to cutting-edge technologies including LLMs, APIs, automation frameworks, data processing, and modern software development practices.

Company	Diebold Nixdorf
Role	Technology Solutions Intern / Apprentice
Job Type	Internship / Apprenticeship
Qualification	B.E / B.Tech (Computer Science Engineering or Related Field)
Eligible Candidates	Students Pursuing Engineering
Primary Skill	Python
Domain	AI, GenAI, Software Engineering, Automation

About Diebold Nixdorf

Diebold Nixdorf is a global leader in financial and retail technology solutions. The company helps financial institutions and retailers connect people to commerce through innovative software, hardware, automation, AI, and digital transformation technologies. Working at Diebold Nixdorf provides exposure to enterprise-grade products, global engineering teams, and next-generation innovation initiatives.

Key Responsibilities

• Design and develop AI and Agent-based applications.
• Build automation tools for engineering workflows.
• Develop Python scripts, utilities, and applications.
• Work on Generative AI integrations using LLMs and AI agents.
• Support software automation and productivity platforms.
• Collaborate with hardware, firmware, and systems engineering teams.
• Develop data analysis, visualization, and reporting tools.
• Participate in debugging, testing, and code reviews.
• Maintain technical documentation.
• Contribute to digital transformation initiatives.

Eligibility Criteria

• Pursuing B.E/B.Tech in Computer Science Engineering or related disciplines.
• Strong programming skills in Python.
• Basic understanding of Java, C, or C++.
• Good knowledge of Data Structures and Algorithms.
• Understanding of Object-Oriented Programming concepts.
• Knowledge of Software Design Fundamentals.
• Strong analytical and problem-solving skills.

Preferred Skills

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Generative AI
• Large Language Models (LLMs)
• REST APIs
• Backend Development
• Flask
• FastAPI
• React Basics
• Git Version Control
• SQL Databases
• NoSQL Databases
• Automation Frameworks
• Jira
• Confluence
• SonarQube
• Jenkins
• TeamCity
• TFS

Why Join Diebold Nixdorf?

• Work on cutting-edge AI and GenAI projects.
• Gain hands-on experience with enterprise software development.
• Collaborate with global R&D teams.
• Exposure to automation frameworks and developer tools.
• Learn modern software engineering practices.
• Build real-world applications used in enterprise environments.
• Develop skills highly valued in the AI and software industry.

🚀 Career Growth Opportunities

This internship can serve as a strong foundation for careers in Artificial Intelligence, Software Engineering, Data Engineering, Machine Learning Engineering, Generative AI Development, Platform Engineering, Automation Engineering, and Full Stack Development. Students gaining hands-on experience with Python, APIs, AI agents, automation frameworks, and enterprise engineering tools become highly competitive for roles at global technology companies. The demand for professionals skilled in AI-powered automation and developer productivity platforms is rapidly increasing across industries.

📚 Recommended Skills to Learn

To maximize success in this role, candidates should strengthen Python programming, Data Structures & Algorithms, SQL, REST APIs, Git, Machine Learning fundamentals, Prompt Engineering, FastAPI, Flask, Cloud Computing, Docker, CI/CD basics, and System Design concepts. Learning how AI agents, LLMs, and automation frameworks work will provide a major advantage during interviews and future projects.

Python Programming Course

SQL Course & Notes

🎯 Interview Preparation

Diebold Nixdorf is likely to assess candidates on Python programming, Data Structures & Algorithms, OOP concepts, SQL, APIs, AI/ML fundamentals, software engineering principles, debugging, and problem-solving ability. Candidates should also prepare basic concepts related to Git, automation frameworks, and software development workflows.

Recommended Interview Preparation Resources:

• Top 100 Python Interview Questions and Answers
• Top 100 SQL Interview Questions and Answers
• Top Git Interview Questions and Answers
• Complete Java Interview Preparation Guide
• Advanced Java 8 Interview Questions and Answers
• Complete DevOps Interview Preparation Guide
• Advanced DevOps Interview Questions (Cloud, Terraform & CI/CD)
• Software Testing Interview Questions and Answers
• Business Analyst Interview Preparation Guide
• Top 60 Business Analyst Interview Questions and Answers
• Communication Skills for Placement Interviews

Selection Process

1. Application Screening
2. Online Assessment
3. Technical Interview
4. Coding & Problem-Solving Round
5. Managerial Discussion
6. Final Selection

Documents Required

• Updated Resume
• Government ID Proof
• Academic Mark Sheets
• Project Documentation
• Internship Certificates (if any)
• Coding Profile Links (GitHub, LeetCode, HackerRank, etc.)

Frequently Asked Questions (FAQs)

Who can apply?

Students pursuing B.E/B.Tech in Computer Science Engineering or related disciplines can apply.

Is Python mandatory?

Yes. Strong Python programming skills are specifically mentioned as a mandatory requirement.

Are AI and Machine Learning skills required?

Prior exposure is preferred but not mandatory. Interest in AI, GenAI, and LLMs will be advantageous.

Will coding be assessed during interviews?

Yes. Candidates should prepare Python, DSA, OOPs, and problem-solving concepts thoroughly.

Is knowledge of Git important?

Yes. Familiarity with Git and version control systems is one of the preferred qualifications.

How to Apply

1. Prepare an updated resume highlighting Python, AI, and project experience.
2. Review the required skills and eligibility criteria.
3. Apply through the official career portal.
4. Complete assessment and interview rounds.

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Apply Now – Diebold Nixdorf