Digital Twin AI Framework Engineer
| Company | Passive Logic |
|---|---|
| Location | Murray, UT, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Mid Level, Senior |
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.
Preferred 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.