Founding Software Engineer
Event Horizon Labs
Founding Software Engineer
Event Horizon Labs
AI-driven quantitative trading and asset management
Event Horizon Labs — San Francisco (in-person)
We're a small, tight-knit team building autonomous research infrastructure from scratch. The orchestrator, the agents, the compounding knowledge base are already discovering profitable strategies and scaling with each new model release. These are founding roles with competitive salary and equity.
The next breakthrough isn't a better model — it's infrastructure for autonomous problem-solving. Markets are the first domain because feedback is immediate, signal is verifiable, and outcomes are directly monetizable. What we're building doesn't stop at markets.
Team from Citadel, Jump Trading, Stanford, Caltech, Berkeley.
You build the platform everything runs on. Design the orchestration layer that dispatches parallel research sessions, the data pipelines that feed them, the observability that monitors them, and the trading systems that act on what they find. Distributed systems meets autonomous AI infrastructure.
You might work on
Compute scheduling and resource allocation across hundreds of agents
Streaming data pipelines for real-time market ingestion
Agent observability, experiment tracking, and reproducibility at scale
Low-latency trading system design and optimization
Details
Stack: Python, Go, Kubernetes, streaming data, low-latency systems
Location: San Francisco (in-person)
Comp: Competitive salary + meaningful founding equity
AI-driven quantitative trading and asset management
Event Horizon Labs is an AI-first trading research firm that builds an autonomous hedge fund. It develops a sophisticated artificial intelligence system called the 'Post Human Trader' to make investment decisions and manage capital, aiming to match the performance of the world’s best portfolio managers. The company operates at the intersection of academic research and live market deployment, focusing on high-frequency and quantitative trading to generate returns through data-driven, automated trading strategies. What sets it apart is its explicit focus on an autonomous, AI-driven asset-management capability, staffed by experts in quantitative strategy and physics, and its goal of running a technology-driven hedge fund that operates without direct human decision-making. The overarching objective is to create a system that can autonomously manage capital and achieve investment results comparable to top human traders.
Explore more opportunities at Event Horizon Labs