Full-Time

Digital Twin AI Framework Engineer

Confirmed live in the last 24 hours

Passive Logic

Passive Logic

No salary listed

Mid, Senior

Murray, UT, USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Rust
iOS/Swift
C/C++
Requirements
  • A 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: Extraordinary teammate with excellent interpersonal skills
  • Organized and strategic: Strong analytical and problem-solving skills
  • Collaborative mindset: Open to feedback and committed to a continuous improvement process.
  • Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate.
  • Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up.
Responsibilities
  • 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.
Desired Qualifications
  • Strong experience with relational databases (PostgreSQL, MySQL, etc.)
  • Machine learning and AI
  • Reasoning and inferencing
  • Working with data sterilization formats (GraphQL, ODATA, XML, JSON)
  • Driving standard adoption
  • Familiarity with 3D model and BIM formats (gbXML, epJSON, IFC, USD, gITF, etc)
  • Interest in becoming a technical and industry expert in digital twins
  • Experience with semantic modeling (RDF, OWL, SPARQL)
  • Differentiable programming
  • Numerical methods and graph computing
  • Swift programming language
  • Building science fundamentals: A fundamental understanding of building energy, HVAC systems, and/or electromechanical systems.
  • Knowledge of current semantic and digital twin research (Haystack, Brick, DTDL, Building Ontology, SAREF, OneM2M, Matter, W3C Web of Things, Omniverse etc).
  • Interest in energy and control systems.

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