Principal Graph & Compiler Architect

About the Role

We are building a new class of software system: one that compiles human and organizational intent into executable, adaptive applications.

Instead of hand-authoring screens, workflows, and UI logic, this system reasons over graphs of meaning, rules, constraints, and outcomes, and produces lawful, optimized execution plans that downstream runtimes can safely realize.

This role leads the canonical compiler at the heart of that system.

If successful, this work eliminates entire categories of manual software construction and replaces them with machine reasoning, constraint solving, and continuous learning.

What You Will Build

• A graph-native compiler that transforms intent, policy, and process into executable plans
• Multi-stage compilation pipelines (semantic analysis → optimization → constraint bounding)
• Constraint reasoning systems that ensure legality, safety, and performance before execution
• Large-scale graph models that represent capability, solution, trace, and stability over time
• Feedback loops that allow the system to improve its decisions as it observes outcomes

This is not application development.

It is infrastructure for superintelligent software systems.

Who You Are

• You think in structures, invariants, and transformations, not screens or endpoints
• You are comfortable designing systems where correctness matters more than convenience
• You enjoy turning vague intent into precise, executable form
• You want to work on problems that look more like compilers, planners, or operating systems than CRUD apps

Required Experience

• Deep experience with graph systems (knowledge graphs, execution graphs, dependency graphs)
• Strong grounding in compiler architecture (IRs, passes, optimizers)
• Experience with constraint solving, optimization, or formal reasoning
• Fluency in a strongly typed language (TypeScript, Rust, Scala, etc.)

Why Join

This is an opportunity to architect the computational backbone of lawful intelligence—software that will underpin global-scale AI collaboration, digital governance, and the economy of the 21st

century.

You will work at the confluence of distributed systems, advanced databases, and AI research, shaping how humanity and intelligent systems share information and value.