Who We Are & Why Join Us

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

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.

This is a mid-senior level position (5–7 years of experience) combining technical leadership with hands-on development.

You Will

Model complex domains. Design knowledge graph schemas, ontologies and data models for supply chain, manufacturing BOM and logistics data.

Build ingestion pipelines. Create and maintain pipelines that bring data from enterprise systems (such as SAP), databases and files into the graph, with the right data quality checks in place. Build the connectors for both IT and OT systems.

Write and tune graph queries. Develop multi-hop traversals, joins and aggregations in our graph query language (IQL) and in Gremlin, and tune them to run well on datasets with millions of records. Add more graph algorithms for faster multi-hop traversal.
Build high-performance components. Develop and optimize performance-critical graph and compute components in C++. Improve graph processing engine to support large data set.
Deliver analytics on the graph. Build computational functions, graph analytics, and connect the graph to Python and NumPy workflows for advanced analytics and ML model integration.
Expose graph capabilities. Design and build APIs and services that let downstream applications use the knowledge graph.
Work across teams. Partner with product and data science to turn business problems into graph-based solutions.
Lead and mentor. Coach engineers on graph modelling, query design, and platform best practices, and contribute to architecture decisions and the technical roadmap.

You'll Have

5–7 years of software engineering experience, including at least 2 years hands-on with graph databases or knowledge graphs
Strong Python skills
Hands-on C++ experience, ideally on performance-sensitive or systems-level code
Production experience with a graph database or knowledge graph platform, such as JanusGraph, Neo4j, Amazon Neptune or TigerGraph
Experience writing and optimizing Gremlin traversals (Apache TinkerPop), preferably on JanusGraph
A solid grasp of ontology design, schema modeling and graph data structures
Strong SQL skills and a track record of query performance tuning
Experience designing and building REST APIs and service-based architectures
Experience with at least one major cloud platform (GCP preferred; AWS or Azure is fine)
The ability to turn ambiguous business requirements into clear technical designs
Clear communication and experience working with cross-functional teams