Software Engineer Intern - Berlin (2026)

Role Summary

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more.

We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.

POSSIBLE TEAMS/WORK FOCUS AREA

• Execution platform (XP), Search Optimization (SO), SQL Features (Geo, Collations)
• Database engineering, service runtime, streaming (data pipelines), metadata, Streamlit and cloud engineering teams.
• High performance large-scale data processing
• Large-scale distributed systems
• Query compilation and optimization
• Software-as-a-Service platform
• Software frameworks for stability and performance testing

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Responsibilities

WHAT YOU WILL LEARN/GAIN

• How to build enterprise grade, reliable, and trustworthy software/services
• Exposure to SQL and/or other database technologies (e.g., Spark, Hadoop)
• Understanding of database internals, large-scale data processing, transaction processing, distributed systems, and data warehouse design
• Implementation, testing of features in query compilation, compiler design, query execution
• Experience working with cloud infrastructure, AWS, Azure, and/or Google Cloud in particular
• Learning about cutting edge database technology and research
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

Requirements

WHAT WE EXPECT

• Must be actively enrolled in an accredited college/university program during the time of the internship
• Required: A completed BS degree, with an MS or PhD in progress
• Desired Majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field
• Required coursework: algorithms, data structures, and operating systems
• Recommended coursework: Database systems, distributed systems, Geospatial/Geographic IS, cloud computing, compilers,
• Bonus experience: Research or publications in databases or distributed systems, experience with geo features processing, and contributions to open source.
• Experience working with big data (engineering / processing) and data migration
• Duration: 4 month minimum, 6 months recommended, up to 12 months supported, start date flexible
• Target start dates: February 2026 and onward
• Excellent programming skills in C++ or Java
• Knowledge of data structures and algorithms
• Strong problem solving and ability to learn quickly in a dynamic environment
• Fluent English language skills (oral and written)
• Experience with working as a part of a team
• Dedication and passion for technology
• Systems programming skills including multi-threading, concurrency, etc.

Benefits

• Paid, full-time internships in the heart of the software industry
• Post-internship career opportunities (full-time and/or additional internships)
• Exposure to a fast-paced, yet fun, startup culture
• A chance to work with world-class experts on challenging projects
• Opportunity to provide meaningful contributions to a real system used by customers
• High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation
• Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag and much more
• Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more
• Embraced as a full member of the diverse Snowflake engineering team

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.