Lead Engineer, Computational Knowledge Graph

Lead Engineer, Computational Knowledge Graph

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization.

Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension—all tailored to the complexities of industrial environments.

We are seeking an experienced CKG Lead Engineer to help design, develop, and scale our Neon platform. In this role, you will work on the full-stack development of our knowledge graph platform, from ontology design and schema modeling to query optimization and Python integration. You will collaborate with data scientists, product managers, and customers to build solutions that leverage Neon's unique computational capabilities.

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

You will:

• Design and implement knowledge graph schemas, ontologies, and data models for complex domains (supply chain, manufacturing BOM, logistics)
• Develop and optimize IQL (Intermediate Query Language) queries for multi-hop graph traversals, joins, and aggregations
• Build data ingestion pipelines to populate and maintain knowledge graphs from diverse data sources
• Implement computational functions and analytics on top of the knowledge graph
• Integrate Neon with Python/Num Py for advanced analytics and ML model integration
• Design and build APIs to expose knowledge graph capabilities to downstream applications
• Optimize query performance for large-scale datasets (1M+ records)
• Collaborate with product and data science teams to translate business requirements into graph solutions
• Mentor team members on IQL, graph modeling, and Neon best practices
• Contribute to platform roadmap and architectural decisions

You'll have:

• 5-7 years of software engineering experience, with at least 2 years working with graph technologies or knowledge graphs
• Strong proficiency in Python programming
• Experience with graph databases or knowledge graph platforms (Neo4j, Amazon Neptune, Tiger Graph, or similar)
• Understanding of ontology design, schema modeling, and graph data structures
• Experience with SQL and query optimization
• Familiarity with REST APIs and web services architecture
• Experience with cloud platforms (GCP preferred, AWS or Azure acceptable)
• Strong problem-solving skills and ability to translate complex business requirements into technical solutions
• Excellent communication skills and ability to work with cross-functional teams
• BS or MS in Computer Science, Engineering, or related field

Preferred qualifications include:

• Experience with RDF, SPARQL, or semantic web technologies
• Knowledge of NLP/NER pipelines for entity extraction and relationship mining
• Experience with ML model integration and MLOps
• Familiarity with supply chain, manufacturing, or BOM data structures
• Experience with time series data and IoT integration
• Knowledge of graph algorithms (shortest path, centrality, community detection)
• Experience with data visualization for graph structures
• Contributions to open-source graph or knowledge management projects

Key technologies include:

• Languages:
  
  Python (primary), Scala, IQL
• Graph Platforms:
  Neon/Maana (proprietary), Neo4j concepts
• Cloud: GCP (primary), AWS, Azure
• Data: SQL, No
  
  SQL, Time Series DBs
• APIs: REST, GraphQL concepts
• ML Integration:
  Tensor Flow, PyTorch, Num Py
• CI/CD:
  Travis CI, Jenkins

As part of the interview process, you will be asked to complete a technical assessment.

Benefits and perks at Avathon include:

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Compensation: $150k - $220k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location:

This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.