Granica Logo

Granica

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

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Mountain View, CA, USA
Internship
Hybrid
Mountain View, CA, USA
Internship
Interns will design and implement components of large-scale data infrastructure systems, contributing to projects involving data processing and optimization while collaborating closely with engineers.
The summary above was generated by AI
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!

Top Skills

C++
Distributed Systems
Go
Java
Orc
Parquet
Python
Spark
HQ

Granica Mountain View, California, USA Office

274 Castro Street, Mountain View, California, United States, 94041

Similar Jobs at Granica

Yesterday
In-Office
Mountain View, CA, USA
190K-290K Annually
Senior level
190K-290K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.
Top Skills: Delta LakeIcebergOrcParquetPrestoSparkTrino
3 Days Ago
In-Office
Mountain View, CA, USA
160K-250K Annually
Mid level
160K-250K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
As a Research Product Manager, you will oversee complex research programs, turning technical ideas into execution plans and aligning research with production systems to enhance AI capabilities.
Top Skills: AILarge Tabular ModelsMachine LearningStructured Data
3 Days Ago
In-Office
Mountain View, CA, USA
190K-250K Annually
Senior level
190K-250K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Business Intelligence • Data Privacy
Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.
Top Skills: C++Delta LakeFlinkGoHudiIcebergJavaOrcParquetRustSpark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account