Research Software Engineer
- Compensation
- Not disclosed
- Location
- Sunnyvale, United States
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- MS or PhD in Computer Science, Data/Information Science, or a related field - or equivalent demonstrated depth.
- 8+ years building production-grade data, distributed, or ML systems, with deep expertise in several of: data platforms and pipelines, knowledge graphs / graph databases, semantic technologies and onto
- A track record of taking ambiguous, open-ended problems from concept to working system.
- Strong written and verbal communication - you can turn a technical result into a decision-useful point of view.
Full description
Job Title: Research Software Engineer - Data Fabric & OntologyLocation
STIC (Software Technology Innovation Center), Sunnyvale, CA, USA
About STIC & the Foundations Lab
STIC is SLB's Silicon Valley applied research center - the company's bleeding-edge evangelists. We operate deliberately outside the critical path of engineering delivery, which gives us the freedom to pursue the high-risk, high-reward research that teams under delivery pressure cannot. Our mandate is to identify frontier digital technology before it goes mainstream, translate it into business advantage for SLB, and embed it through partnership and knowledge transfer.
The Foundations Lab owns STIC's Data Fabric & Ontology theme - how SLB architects, harmonizes, and reasons over data at industrial scale. This is not maintenance engineering. We are building toward a multi-year arc: from AI-driven semantic harmonization of messy legacy data today, to living knowledge graphs that mirror business logic and physical assets, to self-evolving data architectures that rewrite their own schemas as new use cases emerge.
The Role
We're hiring a Research Software Engineer to help lead that arc. You'll design and build proof-of-concept systems that de-risk transformative ideas in data fabric, ontology engineering, knowledge graphs, and agentic data management - and translate them into a clear point of view on what SLB should adopt next.
This is a hands-on, high-visibility role. You'll own solutions from inception to delivery, work directly with Big Tech and the Silicon Valley startup ecosystem, and shape the technical direction of one of STIC's six strategic themes. Reporting to the Foundations Lab manager, you'll be expected to lead through the work - building the systems, forming the opinion, and bringing others along.
We're looking for a self-starter who thrives in ambiguity, treats experimentation as the default, and wants to define what industrial data platforms look like in 2030 rather than iterate on what they look like today.
What You'll Work On
Our research agenda spans three horizons. You'll contribute across the near term while helping us reach toward the frontier:
- Semantic harmonization & AI-ready data - AI-driven "semantic mappers" that harmonize fragmented legacy data into standard schemas; ontologies, knowledge graphs, and data virtualization for industrial-scale operations.
- Ontology engineering & knowledge graphs - AI-assisted and AI-constructed ontologies, GraphRAG and multi-hop reasoning, and knowledge graphs as living digital twins of business logic linked to physical assets.