Senior Software Engineer — Distributed Compute / Spark Systems
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 27, 2026. Granica scores B on the Alion truth index.
Senior Software Engineer - Distributed Compute / Spark Systems
Location: Mountain View, CA - On-site
About Granica
Granica builds AI infrastructure for enterprises operating massive data environments.
Our platform helps data and engineering teams reduce storage and compute costs, improve performance and reliability, and prepare large datasets for analytics and AI.
Granica’s products include:
Crunch - continuous optimization for enterprise lakehouse data
Myelin - stateful infrastructure for long-running AI agents
Large Tabular Models - foundation models designed for enterprise tables
Together, we are building the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.
Granica has demonstrated approximately $200K in annualized value per petabyte and verified customer value within weeks.
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.
You will own core systems that directly affect customer compute spend, query latency, workload reliability, cluster efficiency, and the performance of large-scale analytical data processing.
This is a hands-on systems role for engineers who have gone deep on distributed execution - particularly Apache Spark or similar query/runtime systems - and want to own performance, scheduling, reliability, and compute efficiency at massive scale.
What You’ll Do
Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads
Improve execution performance across scans, joins, aggregations, shuffles, spills, caching, partitioning, and task scheduling
Design adaptive systems for workload routing, execution planning, resource allocation, and cluster efficiency
Debug bottlenecks across CPU, memory, network, storage, metadata, and distributed execution layers
Improve reliability, fault tolerance, and compute efficiency across Spark and adjacent systems such as Trino, Presto, Flink, Iceberg, Delta Lake, Hudi, and cloud object stores
What We’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
Bonus
Contributions to Spark, Trino, Presto, Flink, Velox, DuckDB, DataFusion, Iceberg, Delta Lake, Hudi, Parquet, ORC, or related systems
Experience with cost-based optimization, vectorized execution, workload schedulers, execution control planes, resource managers, storage-aware execution, or adaptive query optimization
Research or open-source contributions in distributed systems, databases, query processing, data processing, or cloud infrastructure
Why Join Granica
Build foundational infrastructure for enterprise data and AI
Work on deep systems problems across distributed compute, query execution, scheduling, and compute efficiency
Own meaningful parts of the architecture in a small, high-caliber engineering team
Work directly with Product, Engineering, and company leadership
Have direct impact on customer performance, infrastructure cost, product direction, and company growth
Compensation & Benefits
Competitive salary, meaningful equity, and performance bonus for top performers
401(k) with company match, comprehensive health coverage, and unlimited PTO
Daily catered meals in our Mountain View office
Support for research, publication, and conference participation
At Granica, you'll help build the next generation of enterprise AI -from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.