Digital Twin AI Framework Engineer
Listed on 2025-12-14
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IT/Tech
AI Engineer, Systems Engineer
Digital Twins AI Framework Engineer
Are you looking for a career-defining challenge developing the world's first digital twin-AI standard for autonomous systems? Passive Logic is looking for a highly motivated and dedicated candidate who wants to learn from the best and stretch their skills.
About Passive Logic
Passive Logic is the first fully autonomous platform for buildings. We’ve reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world’s carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions.
We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives—backed by the world’s leading investors—working together to make the future a reality.
About the Role
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. While other digital twin technologies provide labels for system components, Quantum takes digital twins further by defining both the existential nature of components and the relationships between them. By defining systems as digital twins in the form of a heterogeneous graph network, systems can become inference-able, introspect-able, and action-able. Learn more about Quantum here.
What you’ll do
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 formal isms 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.
What you’ll bring
If your experience does not meet all our posted requirements below, we’d still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that’s you, please apply!
You must have
- Proven experience:
- 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,…
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