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# Distinguished Systems Developer - SQL Engine

- **Company:** InterSystems
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $108,160.0 - $131,040.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computer-Aided Design, Artificial Intelligence, Amazon Web Services, Automation of Tests, Code Generation, Databases, Data Systems, JSON, Machine Learning, Query Optimization, Search Technologies, SQL Databases, Database Engines, System Programming, AI Infrastructure, Data Processing, Delivery Pipeline, Caching, AngularJS, Automation Anywhere, SDET
- **Published:** July 23, 2026
- **Apply:** https://www.careerjet.com/job/us0cb23b96801be807eb06c0102e06f9e1/eaa

## About the Role

* 10+ years of experience in systems-level or database internals engineering
 * Proven expertise in SQL query engines, optimizers, execution runtimes, or data compiler toolchains
 * Experience with multi-model data systems (SQL + JSON, vector search, graph traversal)
 * Expert in at least one systems programming languages, or LLVM-based codegen environments
 * Strong grasp of relational algebra, compiler construction, and data-intensive workloads
 * Familiarity with AI infrastructure or ML inference pipelines is a strong plus
 * Passion for designing software that balances performance, correctness, and usability
 * PHD degree or published research experience is highly advantageous.

## Description

As a Distinguished Developer in the SQL Engine group, you'll help build the next-generation query processing stack, optimizing across both traditional analytics and emerging AI-driven workloads. You'll contribute to:

 * Query parsing, validation, and transformation
 * Logical/physical optimization over multi-model data (row, columnar, stream, document, vector)
 * Plan generation and adaptive execution strategies
 * Code generation and vectorized execution
 * Compiler-accelerated storage access patterns for AI workflows
 * Collaborative integration with our multi-model storage engine

You'll design data processing abstractions and execution engines that enable AI-native features like fast vector search, graph traversal, and probabilistic joins-all within a familiar SQL interface.
Your Impact

 * Architect and implement query optimization and execution components that scale across petabytes
 * Design tooling and frameworks that make AI and analytics convergence seamless
 * Collaborate with platform and storage teams to leverage multi-model indexing and caching strategies
 * Contribute to building programmable, intelligent data pipelines that drive downstream ML model performance
 * Mentor engineers, guide technical debates, and influence long-term system direction
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