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 --
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 --
Lead Engineer, Computational Knowledge Graph
$150K - $220K/yr
About Neon -- Our Computational Knowledge Graph Platform Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines: * Knowledge Graph -- A network of connected facts,
Lead Engineer, Computational Knowledge Graph
$150K - $220K/yr
About Neon -- Our Computational Knowledge Graph Platform Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines: * Knowledge Graph -- A network of connected facts,
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 --
Quick apply
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 --
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About
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ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first
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Data Engineer, Knowledge Graphs
San Francisco, CA · On-site
$150K - $200K/yr
ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first
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ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first
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About Adobe Intelligence Platform Adobe Intelligence Platform is the foundational AI infrastructure that powers agentic experiences across the Adobe product portfolio. The platform enables
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About Adobe Intelligence Platform Adobe Intelligence Platform is the foundational AI infrastructure that powers agentic experiences across the Adobe product portfolio. The platform enables
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About the Role You'll lead two core systems inside Veeam Data Command Center: the Knowledge Graph and the hyperscale data lake integrations. Together, they help customers understand where sensitive
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Knowledge Graph Architect information
What is a knowledge graph architect?
Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.
What are some typical challenges knowledge graph architects face when integrating data from diverse sources?
Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.
What are the key skills and qualifications needed to thrive as a knowledge graph architect?
To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.
What are popular job titles related to Knowledge Graph Architect jobs in California?
For Knowledge Graph Architect jobs in California, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph Architect jobs in California look for?
The top searched job categories for Knowledge Graph Architect jobs in California are:
What cities in California are hiring for Knowledge Graph Architect jobs?
Cities in California with the most Knowledge Graph Architect job openings:
Full-time
Medical, Retirement
Re-posted 11 days ago
Job description
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 Neon -- Our Computational Knowledge Graph Platform
Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines:
Neon powers decision-intelligence applications across supply chain, manufacturing, and energy domains. It enables multi-hop graph traversals, nested data operations, real-time analytics, and seamless integration with ML/AI pipelines.
About the Role
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
CategoryTechnologiesLanguagesPython (primary), Scala, IQLGraph PlatformsNeon/Maana (proprietary), Neo4j conceptsCloudGCP (primary), AWS, AzureDataSQL, NoSQL, Time Series DBsAPIsREST, GraphQL conceptsML IntegrationTensorFlow, PyTorch, NumPyCI/CDTravis CI, JenkinsInterview Process
As part of the interview process, you will be asked to complete a technical assessment.
Benefits & Perks
What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $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.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
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 Neon -- Our Computational Knowledge Graph Platform
Neon is Avathon's proprietary Computational Knowledge Graph (CKG) platform that combines:
- Knowledge Graph -- A network of connected facts, entities, and relationships
- Computation Graph -- Complex analytics and computations defined on top of the knowledge graph
Neon powers decision-intelligence applications across supply chain, manufacturing, and energy domains. It enables multi-hop graph traversals, nested data operations, real-time analytics, and seamless integration with ML/AI pipelines.
About the Role
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/NumPy 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
- 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, TigerGraph, 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
- 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
CategoryTechnologiesLanguagesPython (primary), Scala, IQLGraph PlatformsNeon/Maana (proprietary), Neo4j conceptsCloudGCP (primary), AWS, AzureDataSQL, NoSQL, Time Series DBsAPIsREST, GraphQL conceptsML IntegrationTensorFlow, PyTorch, NumPyCI/CDTravis CI, JenkinsInterview Process
As part of the interview process, you will be asked to complete a technical assessment.
Benefits & Perks
What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
- 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
Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $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.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
About Avathon Capital
Sourced by ZipRecruiter
Company size
11 - 50 Employees
Headquarters location
Chicago, IL, US
Year founded
2015