Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information becomes usable intelligence. Our technology operates deep in the data infrastructure layer, making data efficient, secure, and ready for scale.
We eliminate the hidden inefficiencies in modern data platforms—slashing storage and compute costs, accelerating pipelines, and boosting platform efficiency. The result: 60%+ lower storage costs, up to 60% lower compute spend, 3× faster data processing, and 20% overall efficiency gains.
Why It Matters
Massive data should fuel innovation, not drain budgets. We remove the bottlenecks holding AI and analytics back—making data lighter, faster, and smarter so teams can ship breakthroughs, not babysit storage and compute bills.
Who We Are
World renowned researchers in compression, information theory, and data systems
Elite engineers from Google, Pure Storage, Cohesity and top cloud teams
Enterprise sellers who turn ROI into seven‑figure wins.
Powered by World-Class Investors & Customers
$65M+ raised from NEA, Bain Capital, A* Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our platform already processes hundreds of petabytes for industry leaders
Our Mission: We’re building the default data substrate for AI, and a generational company built to endure.
Smarter Infrastructure for the AI Era
We make data efficient, safe, and ready for scale—think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling:
60%+ reduction in storage costs and up to 60% lower compute spend
3x faster data processing
20% platform efficiency gains
Trusted by Industry Leaders
Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms.
A Deep Tech Approach to AI
We’re unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy:
Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter.
Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025.
Backed by the Best
We’ve raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks.
Our Mission
To convert entropy into intelligence, so every builder—human or AI—can make the impossible real.
We’re building the default data substrate for AI, and a generational company built to endure beyond any single product cycle.
WHAT YOU’LL DO
Build intelligent, autonomous data infrastructure that makes storage feel free and analytics feel instant
Design and implement adaptive layouts, zone maps, and columnar encodings that slash I/O and unlock true vectorized execution
Invent and optimize exabyte-scale engines with self-tuning, zero-human-intervention workflows
Apply deep research (PhD or equivalent) to real-world systems—drive adoption in production
Evolve resource schedulers, query planners, and shuffle paths for high-throughput, multi-tenant environments
Build self-healing reliability: chaos-resilient systems with fault injection, retries, and observability by default
Code across the stack with whatever tool gets the job done: Rust, Go, Spark, CUDA, Java, Scala
WHAT WE’RE LOOKING FOR
4+ years engineering in distributed systems, databases, or low-latency infrastructure at companies like MongoDB, Snowflake, Databricks, or similar
PhD in systems, distributed computing, storage, or adjacent field—or equivalent experience with published research or patents
Deep fluency in query execution, compilers, compression, indexing, or vectorized computation
Experience with data systems like Parquet, Delta Lake, Iceberg, Spark, Trino, or Flink
Proven track record building production-grade infrastructure and making measurable performance gains
Excellent communicator with a builder-first mindset and systems-level thinking
WHY JOIN GRANICA
This is an opportunity to help define the most fundamental layer of the AI infrastructure stack. At Granica, engineers own what they build—from research to implementation to real-world impact. You’ll ship foundational systems that are already reshaping how data is stored, queried, and secured at the world’s most innovative companies.
Deep technical complexity at the intersection of systems, data, and machine learning
A fast-moving team that ships weekly and publishes breakthroughs
Extreme ownership and the chance to shape architecture—not just features
Performance-driven culture with no red tape and real autonomy
A track record of engineering excellence—not fluff or vaporware
COMPENSATION & BENEFITS
Competitive salary and meaningful equity
Flexible hybrid work (Bay Area HQ)
Unlimited PTO + quarterly recharge days
Premium health, vision, and dental
Team offsites, deep tech talks, and learning stipends
Equal Opportunity
Granica is committed to building a diverse and inclusive team. We welcome applicants from all backgrounds and experiences.
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
Gallery
Granica Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
