Dein persönlicher KI-Karriere-Agent
Senior Ontology Engineer(m/w/x)
Designing and implementing the Factory Ontology and AI reasoning layer at an operating system provider for autonomous factories. Deep experience with Knowledge Graphs, RDF/OWL, and SPARQL querying required. Meaningful equity.
Anforderungen
- 5+ years backend engineering experience
- Track record building complex, distributed systems
- Expertise in Go, Python, or Rust
- Deep experience with Ontology Engineering, Knowledge Graphs, or Semantic Data Modeling
- Understanding of RDF, OWL, and querying complex relationships (SPARQL/GraphQL)
- Experience or deep interest in physical-world software interaction (IoT, robotics, digital twins, or industrial automation)
- Ability to define system architecture
- Preference for clean, extensible models
- Experience building real-time data pipelines
- Comfort spending time on production floor
- Ability to work on-site in Zurich
- Ability to design systems tolerating noisy, ambiguous data
- Comfort with industrial protocols (OPC-UA, MQTT)
Aufgaben
- Design the SAEKI Factory Ontology
- Implement the SAEKI Factory Ontology
- Build the AI reasoning layer
- Bridge machine telemetry and manufacturing logic
- Define how systems are built
- Build real-time data pipelines for telemetry
- Validate data models on the shop floor
- Interface with machine telemetry
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Go
- Python
- Rust
- RDF
- OWL
- SPARQL
- GraphQL
- IoT
- OPC-UA
- MQTT
Benefits
Attraktive Vergütung
- Competitive salary
Sonstige Vorteile
- Meaningful equity
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Senior Ontology Engineer(m/w/x)
Designing and implementing the Factory Ontology and AI reasoning layer at an operating system provider for autonomous factories. Deep experience with Knowledge Graphs, RDF/OWL, and SPARQL querying required. Meaningful equity.
Anforderungen
- 5+ years backend engineering experience
- Track record building complex, distributed systems
- Expertise in Go, Python, or Rust
- Deep experience with Ontology Engineering, Knowledge Graphs, or Semantic Data Modeling
- Understanding of RDF, OWL, and querying complex relationships (SPARQL/GraphQL)
- Experience or deep interest in physical-world software interaction (IoT, robotics, digital twins, or industrial automation)
- Ability to define system architecture
- Preference for clean, extensible models
- Experience building real-time data pipelines
- Comfort spending time on production floor
- Ability to work on-site in Zurich
- Ability to design systems tolerating noisy, ambiguous data
- Comfort with industrial protocols (OPC-UA, MQTT)
Aufgaben
- Design the SAEKI Factory Ontology
- Implement the SAEKI Factory Ontology
- Build the AI reasoning layer
- Bridge machine telemetry and manufacturing logic
- Define how systems are built
- Build real-time data pipelines for telemetry
- Validate data models on the shop floor
- Interface with machine telemetry
Berufserfahrung
- 5 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Go
- Python
- Rust
- RDF
- OWL
- SPARQL
- GraphQL
- IoT
- OPC-UA
- MQTT
Benefits
Attraktive Vergütung
- Competitive salary
Sonstige Vorteile
- Meaningful equity
Über das Unternehmen
SAEKI Robotics
Branche
Manufacturing
Beschreibung
The company is building the operating system for autonomous factories, enabling Europe to manufacture mission-critical components at software speed.
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