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Software Engineering Intern — Foundational Data Systems for AI (Summer 2026)

Granica

San Francisco Bay Area, United States Remote internship

Posted: March 16, 2026

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Quick Summary

We're looking for Software Engineering Interns to join Granica’s Data Platform team for Summer 2026. The role involves working 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.

Job Description

Software Engineering Intern — Foundational Data Systems for AI (Summer 2026)

Location: Downtown Mountain View, CA (office-based, 5 days/week)
Team: Data Platform

About the Role

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 Mission

AI 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 Do

• Design 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 Qualifications

Minimum Qualifications

• Currently 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

Preferred Qualifications

• 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

Logistics

• 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.

Compensation & Benefits

• 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!

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