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This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment. As the Digital Twin AI Framework Engineer, you will play a foundational role in our Digital Twins team in developing the descriptive language for Quantum. Quantum is a new digital twin-AI standard for defining autonomous systems.
Job Responsibility:
Develop and evolve the Quantum digital twin object model, ontology, and API
Develop the Quantum Knowability Model — evolve the formal proofs of digital twin definitions, systems, events, and compositional stage by which the formalisms can be known
Support the development of the digital twin AI inferencing framework and the accelerator compute team
Advocate for human-centered UX/UI at every stage of ontology development
Apply systems theory and design processes throughout the Quantum evolution process, always collecting feedback and improving the language
Collaborate and coordinate with Quantum working groups including: formal methods, AI, compute, physics, geometry, compiler, and semantic teams, as well as with other Quantum partners to address their feedback and incorporate their needs
Requirements:
MS/PhD in CS/CE/EE/Mathematics, information science, computer science, computational linguistics, computational physiology, human comfort, physics, or equivalent experience
Demonstrated experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge graph environment
Enthusiasm for human-centered API design and object model design
Demonstrated expertise in multi-disciplinary system modeling
Strong theoretical background in systems theory and graph theory
Strong programming and software architecture skills (C++, Swift, Rust, etc)
Exceptional communication skills
Organized and strategic
Collaborative mindset
Adaptability
Problem solving
Nice to have:
Strong experience with relational databases (PostgreSQL, MySQL, etc.)
Strong experience with machine learning and AI
Strong experience with reasoning and inferencing
Strong experience working with data sterilization formats (GraphQL, ODATA, XML, JSON)
Strong experience driving standard adoption
Familiarity with 3D model and BIM formats (gbXML, epJSON, IFC, USD, gITF, etc)
Interest in digital twins
Experience with semantic modeling (RDF, OWL, SPARQL)
Experience with differentiable programming
Experience with numerical methods and graph computing
Experience with Swift programming language
Building science fundamentals
Knowledge of current semantic and digital twin research (Haystack, Brick, DTDL, Building Ontology, SAREF, OneM2M, Matter, W3C Web of Things, Omniverse etc)
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