Digital Twin AI Framework Engineer

Are you looking for a career-defining challenge developing the world's first digital twin-AI standard for autonomous systems?

What you will be doing:

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.

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
• Collaborate and coordinate with Quantum working groups including: formal methods, AI, compute, physics, geometry, compiler, and semantic teams
• Apply systems theory and design processes throughout the Quantum evolution process, always collecting feedback and improving the language
• Collaborate with Quantum partners to address their feedback and incorporate their needs

About PassiveLogic

PassiveLogic is disrupting the world of automation with the first generalized platform for autonomy. Our first application for autonomy is buildings — the largest and most complex controlled infrastructure in the economy. Our culture is built on bringing together the most talented engineers, thinkers, and creatives — backed by the world’s leading investors — working collaboratively together to build the future we envision.

PassiveLogic’s infinitely configurable platform enables users to design their own custom autonomous systems. We've reinvented the fundamental principles of automation to replace legacy control logic with real-time control decisions at the edge, reducing the world’s carbon footprint, while paving the way for the future of smart cities. We are looking for team members who have a passion for technology and want to work on real-world solutions to some of the toughest problems.

You must have:

• 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)
• Extraordinary teammate with excellent interpersonal skills

You should have:

• Experience with relational databases (PostgreSQL, MySQL, etc)
• Interest in becoming an expert in digital twins
• Strong experience in machine learning and AI
• Strong experience in reasoning and inferencing
• Experience in architecting formal systems & validation plans
• Familiarity with 3D model and BIM formats (gbXML, epJSON, IFC, USD, gITF, etc)
• Experience working with data serialization formats (GraphQL, ODATA, XML, JSON)
• Experience driving standard adoption

It’s helpful to have:

• Experience with semantic modeling (RDF, OWL, SPARQL)
• Well-informed in the current market of semantic and digital twin research (Haystack, Brick, DTDL, Building Ontology, SAREF, OneM2M, Matter, W3C Web of Things, Omniverse etc)
• Experience with differentiable programming
• Experience in numerical methods and graph computing
• Fundamentals of building energy, HVAC systems, and/or electromechanical systems
• Experience with Swift programming language
• Interest in energy systems or mechanical-electrical control

Compensation, Perks, & Benefits for the Digital Twin AI Framework Engineer:

• Competitive compensation
• Equity share
• Medical, Dental, Vision, 401K, FSA, HSA, Disability, and Term Life Insurance
• Flex PTO
• Well-stocked break room snacks and catered lunch Monday through Friday
• Free ski passes (We are at the base of Big Cottonwood Canyon)
• Free National Park passes
• We push our performance personally as well as professionally, and we do respect flexible hours around well-earned powder days

To apply for this Digital Twin AI Framework Engineer:

• A cover letter telling us why you're the perfect candidate for PassiveLogic
• A resume
• A link to your portfolio, GitHub etc.
• Extra mile — include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative

We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by a passion for what they do. We know there are candidates who might not fit everything we’ve described above, or who might have experience and skills we haven’t considered. If that’s you, please apply.

Diversity and Inclusion

Diversity, inclusion, and belonging are woven into our values and everything we do. We welcome all — come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers.

Legal Notice

Unsolicited resumes sent to PassiveLogic, including unsolicited resumes sent to PassiveLogic business mailing address, email address, or directly to PassiveLogic employees, will be considered PassiveLogic property. PassiveLogic will not pay a fee for any placement resulting from the receipt of an unsolicited resume.