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fluidstack

Software Engineer, Ontology

FluidStack is looking for a talented Software Engineer to join the Acceleration team and specialize in Ontology development. Your primary mission will be architecting and implementing formal knowledge representations that structure complex domain knowledge. You will be responsible for designing OWL ontologies, managing taxonomies, and ensuring data interoperability across diverse systems. Key duties include mapping real-world concepts into logical frameworks, validating ontological consistency, and building APIs to consume structured knowledge graphs. This role requires deep understanding of semantic technologies (RDF, SPARQL) alongside strong software engineering fundamentals to deliver scalable, maintainable solutions that drive product intelligence.

fluidstack San Francisco, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

1600

Question set

300

Duration

Permanent

Focus areas

Ontology EngineeringKnowledge RepresentationSemantic Web TechnologiesOWL/RDFSoftware Development Lifecycle

People Also Ask (FAQs)

What is the last date to apply for Software Engineer, Ontology?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Software Engineer, Ontology?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the fluidstack test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Software Engineer, Ontology test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Ontology Engineering, Knowledge Representation, Semantic Web Technologies, OWL/RDF, Software Development Lifecycle.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

Prepare for this test

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