Base pay range
$160,000.00 / yr - $250,000.00 / yr
Granica is an AI research and systems company building the infrastructure for a new kind of intelligence : one that is structured, efficient, and deeply integrated with data.
Our systems operate at exabyte scale , processing petabytes of data each day for some of the world’s most prominent enterprises in finance, technology, and industry. These systems are already making a measurable difference in how global organizations use data to deploy AI safely and efficiently.
We believe that the next generation of enterprise AI will not come from larger models but from more efficient data systems . By advancing the frontier of how data is represented, stored, and transformed, we aim to make large-scale intelligence creation sustainable and adaptive.
Our long‑term vision is Efficient Intelligence : AI that learns using fewer resources, generalizes from less data, and reasons through structure rather than scale. To reach that, we are first building the Foundational Data Systems that make structured AI possible.
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.
What You’ll Do
Build intelligent, autonomous data infrastructure that makes storage feel free and analytics feel instantDesign and implement adaptive layouts, zone maps, and columnar encodings that slash I / O and unlock true vectorized executionInvent and optimize exabyte‑scale engines with self‑tuning, zero‑human‑intervention workflowsApply deep research (PhD or equivalent) to real‑world systems—drive adoption in productionEvolve resource schedulers, query planners, and shuffle paths for high‑throughput, multi‑tenant environmentsBuild self‑healing reliability : chaos‑resilient systems with fault injection, retries, and observability by defaultCode across the stack with whatever tool gets the job done : Rust, Go, Spark, CUDA, Java, ScalaWhat We’re Looking For
4+ years engineering in distributed systems, databases, or low‑latency infrastructure at companies like MongoDB, Snowflake, Databricks, or similarPhD in systems, distributed computing, storage, or adjacent field—or equivalent experience with published research or patentsDeep fluency in query execution, compilers, compression, indexing, or vectorized computationExperience with data systems like Parquet, Delta Lake, Iceberg, Spark, Trino, or FlinkProven track record building production‑grade infrastructure and making measurable performance gainsExcellent communicator with a builder‑first mindset and systems‑level thinkingWHY JOIN GRANICA
Deep technical complexity at the intersection of systems, data, and machine learningA fast‑moving team that ships weekly and publishes breakthroughsExtreme ownership and the chance to shape architecture—not just featuresPerformance‑driven culture with no red tape and real autonomyA track record of engineering excellence—not fluff or vaporwareCompensation & Benefits
Competitive salary and meaningful equityUnlimited PTO + quarterly recharge daysPremium health, vision, and dentalTeam offsites, deep tech talks, and learning stipendsEqual Opportunity
Granica is committed to building a diverse and inclusive team. We welcome applicants from all backgrounds and experiences.
Why Granica
Fundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale.AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence.Real Ownership. Design primitives that will underpin the next decade of AI infrastructure.High‑Trust Environment. Deep technical work, minimal bureaucracy, shared mission.Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle.Join us to build the foundational data systems that power the future of enterprise AI. At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring.
Compensation Range : $160K - $250K
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