Distinguished Systems Developer - SQL Engine
About The Position
At InterSystems , we’re redefining the future of analytics and intelligent data platforms. Our high-performance, hyper-capacity engine supports a multi-model storage layer —blending structured, semi-structured, and unstructured data—to power a new generation of AI-native and real-time workloads . We believe in technical craftsmanship , deep collaboration , and a culture where ambitious people can build bold systems. The SQL Engine group is the nerve center of our product—where query processing meets distributed intelligence . We consider engineering a science, an art, and a craft, and we cultivate an environment where the most talented minds can thrive, innovate, and make a lasting impact. This is your chance to design the core foundations of a data platform trusted by the world's most mission critical systems and AI research teams. What You’ll Do 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 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 Champion a culture of quality, rigor, and innovation
Requirements
- 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
Nice To Haves
- 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.
Responsibilities
- 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
- 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
- Champion a culture of quality, rigor, and innovation
Benefits
- Medical, vision, and dental insurance
- Short-term and long-term disability, and life insurance
- 401(k)
- Profit Sharing Contribution
- Paid Time Off and Holidays
- Parental Leave
- Tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
