Build for the
Post-Cloud Era.
We are not building another wrapper around OpenAI. We are building the distributed compute fabric that makes sovereign AI possible. If you prefer goroutines over meetings, you belong here.
View Open RolesOperating Principles
How we work at 137 Particles Labs.
Deep Work
We have almost no standing meetings. We communicate asynchronously via long-form writing and code reviews. We protect your flow state at all costs.
Go All The Way
We are a 100% Go shop. We value simplicity, concurrency, and performance. We build robust binaries that run anywhere, from edge devices to high-performance clusters.
Sovereignty First
We believe users should own their compute and their data. Everything we build is designed to run air-gapped, offline, and decentralized by default.
Open Engineering Roles
You will work on `137d`, our core hardware daemon written in Go. Your focus will be on memory safety, hardware discovery (PCIe bus interrogation), and low-level networking (P2P noise protocols).
Requirements
- 5+ years in systems programming, with strong Go expertise.
- Experience with OS primitives (Linux cgroups, namespaces, io_uring).
- Understanding of cryptographic handshakes and tunneling.
A hybrid role for a network engineer who understands the specific bandwidth and latency requirements of distributed inference. You will design the topologies that allow our mesh to thrive in hostile network environments.
Requirements
- Deep knowledge of SD-WAN, VPN tunneling (WireGuard), and NAT traversal.
- Experience deploying or managing ML workloads (knowing the difference between training and inference traffic patterns).
- Ability to script and automate network configurations in Go or Python.
You will build the interfaces that allow enterprises to visualize and control their compute mesh. You will work with React, TailwindCSS, and DaisyUI to create dense, data-rich dashboards that communicate with our Go control plane.
Requirements
- Expertise in React, TailwindCSS, and component libraries like DaisyUI.
- Experience visualizing complex data (graphs, topologies, real-time metrics).
- Comfortable working with Go backends and WebSocket APIs.
You will design the routing logic for the Quantum Gate using Go. You need to solve for eventual consistency, fault tolerance, and optimal pathfinding in a high-latency P2P mesh.
Requirements
- Experience with DHTs (Kademlia) and Gossip protocols in Go.
- Strong background in distributed consensus (Raft/Paxos).
- Ability to design systems that assume network partitions are the norm.