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
What We’re Looking For
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
Experience using AI-assisted tools (e.g. copilots, summarisation tools, or chatbots) with an ability to critically evaluate and verify AI-generated outputs
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
Passion for designing software that balances performance, correctness, and usability
PHD degree or published research experience is highly advantageous.
Our Engineering Culture
Innovation is expected: Engineers propose, prototype, and lead from the front
Excellence over ego: Code is debated, ideas are tested, and the best ones win
Long-term vision: We optimize for architectural clarity and product longevity
Cross-domain thinking: We solve storage, processing, and AI problems together
Sane pace, deep focus: We value craft, creativity, and time to do both well
Ready to Build What’s Next?
If you dream of working on deep query systems, love systems-level programming, and want to help create a platform that bridges SQL, multi-model data, and AI—we’d love to talk.
We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.
InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.
Other compensation may include a discretionary annual variable target incentive.
The company also provides generous employee benefits including
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
The estimated base compensation range for this role is
$144,000—$205,000 USD
About InterSystems
InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.
AI Disclaimer
InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information). InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.
Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience. AI tools and third-party transcription services must not be used during interviews or assessments.
Please note that the use of wearable technology, including any AI-related tools or other technology-connected devices (such as META or Google smart glasses and/or wearables, and/or any similar devices), is strictly prohibited during the interview and screening process with InterSystems. Any applicant who requires a wearable device or any type of technology support during the interview process as a reasonable accommodation under the ADA or applicable state or country laws and regulations must contact the InterSystems Human Resources Department prior to attending or participating in any interview or screening process.
