Requirements

Must be actively enrolled in an accredited college/university program during the internship
Completed BS degree, with 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, cloud computing, compilers
Excellent programming skills in C++ or Golang
Strong knowledge of data structures and algorithms
Systems programming skills including multi-threading and concurrency
Experience working as part of a team
Fluent English language skills (oral and written)
Strong problem-solving ability and quick learning in dynamic environments
Dedication and passion for technology
Experience with big data engineering/processing and data migration
Duration: 4–12 months (6 months recommended), flexible start date from January 2027 onward

Nice to Haves

Building, scaling, and operating development and production environments for an AI-powered observability platform
Working on data management from ingestion to customer-defined batch-streaming
Contributing to data processing control plane development including language compilation and warehouse execution
Developing new metrics product features and enterprise features
Implementing and testing features in metrics processing, warehouse scheduling, and query execution
Gaining experience with cloud infrastructure such as AWS, Azure, or Google Cloud

Paid, full-time internships located in the heart of the software industry
Post-internship career opportunities including full-time roles and additional internships
Exposure to a fast-paced and fun startup culture
Opportunities to work with world-class experts on challenging projects
Meaningful contributions to real systems used by customers
High access to supervisors with detailed guidance, feedback, and final evaluation without micromanagement
Treated as a full member of the Snowflake team with inclusion in company meetings and activities
Flexible hours and casual dress code, with accommodations for remote work
Company swag, catered lunches, access to gaming consoles, recreational games, happy hours, and company outings
Embraced as part of the diverse Snowflake engineering team