Founding Engineer — Distributed Systems (Games + AI)

Young people are more connected online than ever, yet lonelier than any generation before them.

Most digital platforms are optimized for passive consumption on screens, pulling people away from the environments they live in.

We are exploring the opposite:

To do that, software must understand place, context, and coordinated action , not just users and clicks.

When students coordinate in quests, they are not simply completing activities. They are creating artifacts, relationships, and identity traces that remain anchored to real locations.

Over time, campuses begin to develop a persistent experiential layer , where places contain memories, co-created assets, and discovery paths generated by the community itself. The experiences themselves are not the product. They are the behavioral interface through which the system learns how humans coordinate and co-create meaning in physical environments.

Phygtl is building a system where:

physical environments become stateful systems

human coordination generates persistent artifacts

places accumulate structured memory and identity

distributed services maintain the world state of these environments

Recent proofs:

12k → 175k students reached in 2025

25% of MAUs complete quests

pilots show up to 40% reduction in social isolation

The team combines consumer product, spatial, and game-world expertise, with seasones talents from:

Roblox • Niantic • Ubisoft alongside a research layer that includes:

Today Vyry operates as a mobile app.

The next phase evolves the system into infrastructure for smart glasees.

The long-term architecture enables developers and brands to create context-aware activities inside the spatial environment , similar to how platforms like Roblox enabled creators to build experiences on top of a shared world layer.

This requires building distributed systems capable of coordinating environments, users, AI agents, and third-party developers simultaneously.

You would help design and build the distributed systems layer that powers the platform.

This includes:

real-time coordination systems for large numbers of concurrent users

distributed world state for artifacts, quests, identities, and spatial context

APIs and infrastructure enabling developer and brand participation

orchestration of multiple AI agents operating within the system

scalable service architecture for persistent spatial environments

AI platform infrastructure such as vector search, retrieval systems, and agent orchestration that power contextual reasoning inside the system

search and discovery infrastructure allowing users and developers to navigate artifacts, identities, and environments across the network

This role sits between game infrastructure, distributed systems, and AI platform architecture.

Persistent shared world state

artifacts, identities, and quests evolving across sessions and users

Massively concurrent spatial coordination

enabling real-time participation across many users interacting in the same environments

Distributed AI orchestration

production systems where multiple AI agents operate in parallel while maintaining reliability and latency guarantees

Platform infrastructure

evolving the system from a single product into infrastructure other developers can build on

We are looking for a hands-on distributed systems engineer from the gaming industry who wants to become a founding engineer .

You would:

design distributed system architecture

define service boundaries and coordination mechanisms

build systems for concurrency, persistence, and scale

integrate AI-driven pipelines into production infrastructure

shape the platform architecture as the system evolves beyond the app

We are not looking for someone to simply build backend services, but a talent who wants to architect the distributed systems layer of a new spatial computing platform.

Compensation is equity-only until our next funding round (target H2 2026).

You can join either:

Part-time , while keeping your current role

Full-time

This role is designed for someone who wants to be a founding engineer at a startup without having to start one from scratch .

Engineers who:

have deep experience building distributed systems

have worked on real-time or game-scale infrastructure

think in systems architecture rather than isolated services

are comfortable designing for concurrency, reliability, and scale

have experience building AI or ML platforms , such as:

vector search or retrieval systems

RAG pipelines or LLM services

agent orchestration platforms

AI safety or synthetic data pipelines

are already experimenting with AI-native development workflows

This often resonates with engineers who have spent years inside large companies and now want to build something category-defining with ownership.

Please do not apply if:

you are looking for a salaried job today

you want a freelance contract or short-term gig

you are bridging time until your next role

you are primarily a traditional CRUD backend developer

This is a founding role with startup emotions.

Send:

GitHub or portfolio

examples of distributed systems or infrastructure you built

anything you’ve built involving AI orchestration, agents, or platform systems