Research Software Engineer
Core
Design and build proof-of-concept systems for data fabric, ontology engineering, knowledge graphs, and agentic data management to de-risk transformative ideas and define future industrial data platforms.
Role type
Senior Research Software Engineer (Data Fabric & Ontology)
Builds
Proof-of-concept systems for semantic harmonization, knowledge graphs, autonomous data agents, and scalable cloud-native data infrastructure.
Domain
Industrial data platforms, knowledge graphs, semantic technologies, and AI-driven data management.
Deliverable
production ML models
Required skills
Data platforms and pipelines, knowledge graphs, semantic technologies and ontologies, LLM/RAG and agentic systems, cloud-native distributed systems
Preferred skills
Ontology engineering, GraphRAG, agentic systems, LLM orchestration, modern data infrastructure (lakehouse, streaming)
Technologies
Kubernetes, GCP/Azure/AWS, Iceberg, Delta, Kafka, Spark
Responsibilities
Track frontier technology in data fabric and ontology; build proof-of-concept systems; partner with labs and business units to transfer knowledge; shape technical direction for the Data Fabric theme; collaborate with AI engineers to integrate ML capabilities; establish thought leadership through talks and briefings; provide technical mentorship. (via careerplan.io/jobs/563499734188916-research-software-engineer-at-slb)
Seniority
Senior, hands-on IC with strategic direction
