... knowledge-graph by leveraging compute-capable memory • Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO ...
... knowledge-graph by leveraging compute-capable memory • Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO ...
Position Summary Hands-on Software Engineer - Ontology-Driven, Knowledge Graph, and Agentic Architecture role is critical in defining, governing, and operationalizing an enterprise-scale semantic ...
Position Summary Hands-on Software Engineer - Ontology-Driven, Knowledge Graph, and Agentic Architecture role is critical in defining, governing, and operationalizing an enterprise-scale semantic ...
Founding Engineer
San Francisco, CA · On-site
$150K - $220K/yr
Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...
Quick apply
Founding Engineer
San Francisco, CA · On-site
$150K - $220K/yr
Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...
Core Engineering
San Francisco, CA · On-site
Help shape the long-term architecture behind Rox's agent runtime Problems You'll Work On ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines
Core Engineering
San Francisco, CA · On-site
Help shape the long-term architecture behind Rox's agent runtime Problems You'll Work On ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines
Staff Engineer
San Francisco, CA · On-site
$250K - $300K/yr
Design, build, and operate core infrastructure powering a people-data and AI agent platform - including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture.
New
Staff Engineer
San Francisco, CA · On-site
$250K - $300K/yr
Design, build, and operate core infrastructure powering a people-data and AI agent platform - including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture.
New
Founding Engineer
San Francisco, CA · On-site
$150K - $220K/yr
Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...
Founding Engineer
San Francisco, CA · On-site
$150K - $220K/yr
Design, build, and operate core infrastructure including APIs, LLM-powered workflows, web scraping systems, and large-scale knowledge graph architecture. * Architect and maintain production-grade ...
Core Engineering
San Francisco, CA · On-site
Help shape the long-term architecture behind Rox's agent runtime Problems You'll Work On ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines
Core Engineering
San Francisco, CA · On-site
Help shape the long-term architecture behind Rox's agent runtime Problems You'll Work On ... Knowledge graph infrastructure * Real-time state synchronization * Low-latency execution pipelines
Staff Engineer
San Francisco, CA · On-site
$250K - $300K/yr
... knowledge graph architecture. * Architect and maintain production-grade systems capable of handling millions of API requests, with a sharp focus on performance, cost efficiency, and reliability ...
New
Quick apply
Staff Engineer
San Francisco, CA · On-site
$250K - $300K/yr
... knowledge graph architecture. * Architect and maintain production-grade systems capable of handling millions of API requests, with a sharp focus on performance, cost efficiency, and reliability ...
New
Experience architecting systems for entity resolution, conflation, or knowledge-graph construction ... architectural decisions Streaming expertise: deep, hands-on knowledge of Apache Kafka (or ...
Experience architecting systems for entity resolution, conflation, or knowledge-graph construction ... architectural decisions Streaming expertise: deep, hands-on knowledge of Apache Kafka (or ...
Experience architecting systems for entity resolution, conflation, or knowledge-graph construction ... architectural decisions Streaming expertise: deep, hands-on knowledge of Apache Kafka (or ...
Experience architecting systems for entity resolution, conflation, or knowledge-graph construction ... architectural decisions Streaming expertise: deep, hands-on knowledge of Apache Kafka (or ...
Senior AI/ML Engineer
$180K - $350K/yr
These diverse data sources are fused into a live knowledge graph that generates calibrated ... Contribute to architecture decisions spanning backend systems, AI infrastructure, and large-scale ...
Quick apply
Senior AI/ML Engineer
$180K - $350K/yr
These diverse data sources are fused into a live knowledge graph that generates calibrated ... Contribute to architecture decisions spanning backend systems, AI infrastructure, and large-scale ...
We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified ... with micro-service architecture in a containerized environment (Docker, Kubernetes, etc ...
We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified ... with micro-service architecture in a containerized environment (Docker, Kubernetes, etc ...
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms
San Francisco, CA · On-site
$184.70 - $324.80/hr
We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified ... Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.
Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms
San Francisco, CA · On-site
$184.70 - $324.80/hr
We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified ... Experience with micro-service architecture in a containerized environment (Docker, Kubernetes, etc.
We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified ... with micro-service architecture in a containerized environment (Docker, Kubernetes, etc ...
We also build and maintain Apple's Knowledge Graph, integrating diverse data sources into a unified ... with micro-service architecture in a containerized environment (Docker, Kubernetes, etc ...
Set the architectural direction for entity resolution, conflation, and knowledge-graph construction at the scale of billions of frequently updated entities. Treat privacy as an architectural ...
Set the architectural direction for entity resolution, conflation, and knowledge-graph construction at the scale of billions of frequently updated entities. Treat privacy as an architectural ...
IT - Technology Architect | Development process generic | Big Data Analytics Process
Sunnyvale, CA · On-site
Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j) *Experience with data governance practices - data quality, metadata management, or data stewardship *Ability to communicate ...
IT - Technology Architect | Development process generic | Big Data Analytics Process
Sunnyvale, CA · On-site
Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j) *Experience with data governance practices - data quality, metadata management, or data stewardship *Ability to communicate ...
... to knowledge graph schema design and populating graph databases with domain-relevant data • ... architecture • Hands‑on experience with dbt, SQL, and at least one cloud data platform (e.g ...
... to knowledge graph schema design and populating graph databases with domain-relevant data • ... architecture • Hands‑on experience with dbt, SQL, and at least one cloud data platform (e.g ...
Enable future knowledge graph and enterprise memory capabilities Data Products & Enterprise ... Simplified integration architecture * Faster delivery of analytics and reporting solutions
Enable future knowledge graph and enterprise memory capabilities Data Products & Enterprise ... Simplified integration architecture * Faster delivery of analytics and reporting solutions
Enable future knowledge graph and enterprise memory capabilities Data Products & Enterprise ... Simplified integration architecture * Faster delivery of analytics and reporting solutions
Enable future knowledge graph and enterprise memory capabilities Data Products & Enterprise ... Simplified integration architecture * Faster delivery of analytics and reporting solutions
Enable future knowledge graph and enterprise memory capabilities Data Products & Enterprise ... Simplified integration architecture * Faster delivery of analytics and reporting solutions
Enable future knowledge graph and enterprise memory capabilities Data Products & Enterprise ... Simplified integration architecture * Faster delivery of analytics and reporting solutions
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:
Principal Engineer, AI Serving Framework Architect (Software)
San Jose, CA • On-site
Full-time
Re-posted 6 days ago
Samsung Electronics rating
6.7
Based on 50 frontline employees who took The Breakroom Quiz
125th of 157 rated electronics manufacturers
Job description
Job Summary:
Samsung Semiconductor is a global leader in technology solutions, and they are seeking a Principal AI System Architect to bridge AI workloads, system architecture, and hardware design. The role involves developing system-level performance models, driving architecture-level design decisions, and proposing AI system architectures to shape the company's long-term AI platform strategy.
Responsibilities:
• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM
Qualifications:
Required:
• PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads.
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users.
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.
• In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM.
• Proficiency in AI Inference System Profiling and optimization.
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models.
• Strong understanding of compute, memory, and networking bottlenecks in AI systems.
• Required skillsets: PyTorch, Python, and C++.
• A collaborative mindset, curiosity, and resilience in solving complex challenges.
• Excellent verbal, presentation, and written communication skills.
Preferred:
• Native or fluent Korean speakers are preferred.
Company:
Samsung Semiconductor, Inc. (SSI) is a multi-billion dollar wide range of industry-leading semiconductor solutions. Founded in 1974, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
Samsung Semiconductor is a global leader in technology solutions, and they are seeking a Principal AI System Architect to bridge AI workloads, system architecture, and hardware design. The role involves developing system-level performance models, driving architecture-level design decisions, and proposing AI system architectures to shape the company's long-term AI platform strategy.
Responsibilities:
• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM
Qualifications:
Required:
• PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads.
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users.
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.
• In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM.
• Proficiency in AI Inference System Profiling and optimization.
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models.
• Strong understanding of compute, memory, and networking bottlenecks in AI systems.
• Required skillsets: PyTorch, Python, and C++.
• A collaborative mindset, curiosity, and resilience in solving complex challenges.
• Excellent verbal, presentation, and written communication skills.
Preferred:
• Native or fluent Korean speakers are preferred.
Company:
Samsung Semiconductor, Inc. (SSI) is a multi-billion dollar wide range of industry-leading semiconductor solutions. Founded in 1974, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Samsung Electronics employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Samsung Electronics
Sourced by ZipRecruiter
Industry
Appliances and electrical and electronics wholesalers, technology, communication and media and manufacturing
Company size
10,000+ Employees
Headquarters location
Ridgefield Park, NJ, US