Avathon
Lead Engineer, Computational Knowledge Graph
$150K–$220K
Pleasanton, California, United States · Full-time · Posted Feb 2, 2026
- Experience
- 5–7 years of software engineering experience, including at least 2 years hands-on with graph databases or knowledge graphs.
- Education
- BS or MS in Computer Science, Engineering or a related field, or equivalent practical experience.
About the job
Lead development of Avathon’s Computational Knowledge Graph platform, building graph storage, processing, analytics, and APIs for industrial data and applications.
What you'll do
- Design graph schemas, ontologies, data models, and ingestion pipelines for enterprise, IT, and OT data.
- Develop and optimize graph queries, algorithms, and performance-critical C++ components; integrate graph analytics with Python workflows.
- Build APIs and services, collaborate across product and data science, and mentor engineers while contributing to architecture and the technical roadmap.
What they ask for
- 5–7 years of software engineering experience, including at least 2 years hands-on with graph databases or knowledge graphs.
- Strong Python and SQL skills, including query performance tuning; hands-on C++ experience.
- Production experience with a graph database or knowledge graph platform and experience writing and optimizing Gremlin traversals.
- Experience building REST APIs and service-based architectures; experience with a major cloud platform (GCP, AWS, or Azure).
Nice to have
- Experience with RDF, SPARQL, semantic web technologies, or graph storage and index backends.
- Experience with NLP/NER pipelines, ML integration or MLOps, time-series or IoT data, graph algorithms, or graph visualization.
Pay
$150k - $220k annually (base salary)
Tools
C++, Python, IQL, Gremlin, Apache TinkerPop, SQL, GCP, AWS
AI focus
Connect graph analytics to Python and NumPy workflows for advanced analytics and ML model integration; preferred experience includes NLP/NER pipelines and MLOps.
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