Senior Knowledge Graph Engineer – Industrial Systems

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A*STAR — Agency for Science, Technology and Research is seeking a Knowledge Graph Engineer/Senior Engineer to design, build, and operate scalable graph infrastructure for our remanufacturing platform.

You will translate research ontologies into production-grade pipelines, ingest diverse industrial data from logs to CAD metadata, and expose graph data via robust APIs for downstream robotics and decision-support apps.

Qualifications

• Bachelor's or Master’s in CS/DS/IS or related field.
• At least 1 year building production graph databases in manufacturing or research.
• Experience with data ingestion, NLP extraction, and graph schemas.

Responsibilities

• Design and maintain the graph database schema, storage architecture, and query layer; own performance, scalability, and reliability of the graph store as domain coverage grows across EV battery, aerospace, and manufacturing.
• Build ETL/ELT data ingestion pipelines that bring structured and unstructured data (sensor logs, technical manuals, inspection reports, CAD metadata) into the knowledge graph, with validation and data quality checks.
• Implement and operate NLP pipelines for entity extraction, relation extraction, and document parsing, turning industrial technical text into graph-ready triples at scale.
• Design and expose graph knowledge through well-structured APIs consumed by robotics execution, and decision-support modules.
• Translate research prototypes (new ontology modules, reasoning rules, embedding models) into production-grade code with appropriate testing, monitoring, and documentation.
• Establish data quality standards, entity resolution processes, and provenance tracking to ensure the graph remains trustworthy as it scales across data sources and domains.
• Support prototype development, testing, and validation of knowledge-driven automation solutions in lab and production environments.
• Prepare technical documentation, reports, and presentations for internal and external stakeholders.

Skills

Graph databases

Cypher/Sparql

Python

Data pipelines

NLP tooling

Ontology standards

Education

Bachelor's or Master's degree in CS/DS/IS

Tools

Neo4j

Stardog/Neptune/Jena

Apache Airflow

REST/GraphQL

Git/CI/CD

Job description

A*STAR — Agency for Science, Technology and Research is seeking a Knowledge Graph Engineer/Senior Engineer to design, build, and operate scalable graph infrastructure for our remanufacturing platform.

You will translate research ontologies into production-grade pipelines, ingest diverse industrial data from logs to CAD metadata, and expose graph data via robust APIs for downstream robotics and decision-support apps.