Granica reduces the cost of enterprise AI across data storage, data processing, and agent compute. Everything runs inside your perimeter, and you keep the intelligence your data builds. Backed by NEA.
About the role
Granica is hiring a Senior Software Engineer to build distributed compute systems for enterprise-scale data and AI workloads. You will work on the core infrastructure behind Crunch , Granica’s continuous optimization product for enterprise lakehouse data. This includes systems for distributed execution, workload optimization, query performance, scheduling, resource management, and compute cost reduction across petabyte- and exabyte-scale environments. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep engineering experience in distributed systems, query engines, databases, or cloud infrastructure
- Production experience building, extending, or deeply optimizing distributed compute or query systems such as Spark, Spark SQL, Trino, Presto, Flink, or similar execution engines
- Strong understanding of distributed execution, query planning, scheduling, resource management, fault tolerance, workload isolation, and performance optimization
- Hands-on experience with Spark internals such as Catalyst, Adaptive Query Execution, shuffle, joins, aggregation, spill, memory management, or task scheduling
- Strong programming skills in Scala, Java, Go, Rust, C++, or a similar systems-oriented language, with a pragmatic end-to-end builder mindset
More about this role
Work Model: On-site, 5 days/week
Granica helps enterprises run AI for less, from the data layer to agent execution .
Crunch reduces storage and processing costs across enterprise data infrastructure.
Large Tabular Models unlock predictions and generated data from governed enterprise tables.
Myelin reduces token and compute overhead for long-running AI agents.
Everything runs inside the customer’s perimeter, so enterprises retain control of their data and the intelligence it creates.
Granica has already processed hundreds of petabytes of enterprise data in production for customers including Snap, Pinterest, Lyft, and ShareChat .
Our research organization is led by Stanford Professor Andrea Montanari .
We operate at the intersection of data infrastructure, AI systems, and applied research , building the efficiency and intelligence layer for enterprise AI.
Granica is hiring a Senior Software Engineer to build distributed compute systems for enterprise-scale data and AI workloads.
You will work on the core infrastructure behind Crunch , Granica’s continuous optimization product for enterprise lakehouse data. This includes systems for distributed execution, workload optimization, query...
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