# Lead Engineer, Computational Knowledge Graph Pleasanton, California, United States at SparkCognition

- Company: SparkCognition
- What the company does: Physical AI for industrial operations. One knowledge graph of your assets, processes, people, and locations, with agents that return the plan rather than the alert.
- Company website: https://avathon.com
- Type: Startups
- Level: Senior
- Location: Remote (US)
- Work setup: Remote
- Pay: $150K to $220K base salary per year (USD)
- Posted: 2026-02-02
- Apply by: 2026-10-12
- Apply: https://avathon.com/company/careers/lead-engineer-computational-knowledge-graph-4655246005/
- Page: https://www.1752.vc/careers/jobs/sparkcognition-lead-engineer-computational-knowledge-graph-pleasanton-california/

## About the role

We are seeking an experienced Lead Knowledge Graph Engineer to help design, develop, and scale our Computational Knowledge Graph (CKG) platform. In this role, you will lead full-stack development, spanning graph storage engines, query optimization, graph processing engine. You will collaborate closely with data scientists, product managers, and customers to build solutions that leverage CKG’s unique computational capabilities.

## What they're looking for

- Experience with RDF, SPARQL or other semantic web technologies
- Experience with JanusGraph storage and index backends such as Cassandra, HBase, Bigtable or Elasticsearch
- Experience building NLP or named-entity recognition (NER) pipelines for extracting entities and relationships
- Experience with ML model integration and MLOps
- Experience with time-series data or IoT integration
- Working knowledge of graph algorithms such as shortest path, centrality and community detection