<p>At <strong>InterSystems</strong>, we’re redefining the future of analytics and intelligent data platforms. Our high-performance, hyper-capacity engine supports a <strong>multi-model storage layer</strong>—blending structured, semi-structured, and unstructured data—to power a new generation of <strong>AI-native and real-time workloads</strong>.</p> <p>We believe in technical <strong>craftsmanship</strong>, deep <strong>collaboration</strong>, and a culture where ambitious people can build bold systems. The SQL Engine group is the nerve center of our product—where <strong>query processing meets distributed intelligence</strong>. 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.</p> <p>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.</p> <p><strong>What You’ll Do</strong></p> <p>As a Distinguished Developer in the SQL Engine group, you'll help build the <strong>next-generation query processing stack</strong>, optimizing across both traditional analytics and emerging AI-driven workloads. You’ll contribute to:</p> <ul> <li><strong>Query parsing, validation, and transformation</strong></li> <li><strong>Logical/physical optimization over multi-model data (row, columnar, stream, document, vector)</strong></li> <li><strong>Plan generation and adaptive execution strategies</strong></li> <li><strong>Code generation and vectorized execution</strong></li> <li><strong>Compiler-accelerated storage access patterns for AI workflows</strong></li> <li><strong>Collaborative integration with our multi-model storage engine</strong></li> </ul> <p>You’ll design <strong>data processing abstractions and execution engines</strong> that enable <strong>AI-native features</strong> like fast vector search, graph traversal, and probabilistic joins—all within a familiar SQL interface.</p> <p><strong>Your Impact</strong></p> <ul> <li>Architect and implement <strong>query optimization and execution components</strong> that scale across petabytes</li> <li>Design tooling and frameworks that make <strong>AI and analytics convergence seamless</strong></li> <li>Collaborate with platform and storage teams to leverage <strong>multi-model indexing and caching strategies</strong></li> <li>Contribute to building <strong>programmable, intelligent data pipelines</strong> that drive downstream ML model performance</li> <li>Mentor engineers, guide technical debates, and influence long-term system direction</li> <li>Champion a culture of <strong>quality, rigor, and innovation</strong></li> </ul> <p><strong>What We’re Looking For</strong></p> <ul> <li><strong>10+ years</strong> of experience in systems-level or database internals engineering</li> <li>Proven expertise in <strong>SQL query engines</strong>, <strong>optimizers</strong>, <strong>execution runtimes</strong>, or <strong>data compiler toolchains</strong></li> <li>Experience with <strong>multi-model data systems</strong> (SQL + JSON, vector search, graph traversal)</li> <li>Expert in at least one <strong>systems programming languages, or LLVM-based codegen environments</strong></li> <li>Strong grasp of <strong>relational algebra</strong>, <strong>compiler construction</strong>, and <strong>data-intensive workloads</strong></li> <li>Familiarity with <strong>AI infrastructure or ML inference pipelines</strong> is a strong plus</li> <li>Experience using AI-assisted tools (e.g. copilots, summarisation tools, or chatbots) with an ability to critically evaluate and verify AI-generated outputs</li> <li>Demonstrated ability to learn, evaluate, adapt to, propose and implement AI-augmented workflows in order to continually enhance your own, and the team’s productivity</li> <li>Passion for designing software that balances <strong>performance, correctness, and usability</strong></li> <li><strong>PHD degree </strong>or published research experience is highly advantageous.</li> </ul> <p><strong>Our Engineering Culture</strong></p> <ul> <li><strong>Innovation is expected</strong>: Engineers propose, prototype, and lead from the front</li> <li><strong>Excellence over ego</strong>: Code is debated, ideas are tested, and the best ones win</li> <li><strong>Long-term vision</strong>: We optimize for architectural clarity and product longevity</li> <li><strong>Cross-domain thinking</strong>: We solve storage, processing, and AI problems together</li> <li><strong>Sane pace, deep focus</strong>: We value craft, creativity, and time to do both well</li> </ul> <p><strong>Ready to Build What’s Next?</strong></p> <p>If you dream of working on <strong>deep query systems</strong>, love <strong>systems-level programming&l