Location: Downtown Mountain View, CA (office-based, 5 days/week)
Team: Data Platform
We’re looking for Software Engineering Interns to join Granica’s Data Platform team for Summer 2026.
You’ll work on the same Foundational Data Systems that power Granica’s platform—core infrastructure responsible for maintaining, organizing, and optimizing large-scale structured data so it can be efficiently used for analytics and AI.
As an intern, you’ll join a small, high-impact engineering team and work directly with experienced engineers on real systems that operate over petabyte-scale enterprise datasets. Projects may involve distributed compute, data layout optimization, table maintenance systems, or metadata infrastructure.
Interns are treated as full engineers at Granica. You’ll own a well-scoped technical project, collaborate closely with your team, and ship production-quality code by the end of the internship.
The MissionAI today is constrained not just by model design, but by the inefficiency of the data that feeds it. At scale, redundant bytes, poorly organized datasets, and inefficient data paths translate directly into higher cost, slower iteration, and wasted energy.
Granica’s mission is to remove that inefficiency at the foundation. We design self-optimizing data infrastructure—systems that continuously reorganize, compress, and maintain structured data so it can be learned from efficiently and reliably by AI systems.
What You’ll DoDesign and implement components of large-scale data infrastructure systems
Contribute to systems that maintain and optimize large tabular datasets
Build or improve distributed data processing pipelines
Work on systems related to data layout, compression, and table maintenance
Develop tooling for reliability, testing, and observability
Collaborate with engineers and researchers to turn new ideas into working systems
Your internship project will be scoped so that you deliver a meaningful improvement to one of Granica’s production systems.
Skills and QualificationsMinimum QualificationsCurrently pursuing a BS, MS, or PhD in Computer Science or a related field
Expected graduation between 2026 and 2028
Strong programming skills in Python, Java, Go, C++, or similar
Solid understanding of data structures, algorithms, and systems fundamentals
Interest in distributed systems, data infrastructure, or large-scale computing
Experience with distributed systems or data processing frameworks (e.g., Spark or similar)
Familiarity with columnar storage formats such as Parquet or ORC
Experience working with large datasets or data pipelines
Prior systems programming, infrastructure, or backend project experience
Research or coursework related to distributed systems, databases, or data infrastructure
Location: Downtown Mountain View, CA
Work model: Office-based, five days per week
Duration: Summer 2026 (approximately 12 weeks)
Team: Data Platform
Eligibility: Candidates must be currently enrolled in a BS, MS, or PhD program during the internship period.
Competitive salary, meaningful equity, and substantial bonus for top performers
Flexible time off plus comprehensive health coverage for you and your family
Support for research, publication, and deep technical exploration
At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!
Top Skills
What We Do
Massive-scale data should be an asset — not a liability. At Granica, we’re building a state-of-the-art AI efficiency, data optimization and compression platform designed to make cloud-scale data cheaper, faster, safer and more intelligent. As enterprises generate and store unprecedented volumes of data, traditional infrastructure can’t keep up — costs explode, performance lags, and privacy becomes harder to enforce. Granica changes that. We sit beneath the lakehouse — optimizing the data itself through advanced lossless compression, intelligent data selection, and built-in privacy preservation. Our platform enables enterprises to cut cloud data costs by up to 80% while improving performance and reducing operational complexity. This is deep infrastructure — already deployed in live production environments, operating across hundreds of petabytes of enterprise data.
Why Work With Us
We’re a tight-knit team combining --> * Fundamental research in compression, data systems, and information theory * World-class systems engineering across storage, cloud infrastructure, and security * A shared obsession with performance, scale, and clean design
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Granica Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
