Event Horizon Labs Hiring Founding Infrastructure Engineer – YC W24 Startup Opportunity

Event Horizon Labs, a Y Combinator W24‑batch startup, is actively hiring a founding infrastructure engineer to design and scale its autonomous AI research platform in San Francisco.

Why This Hiring News Matters for Tech Professionals

If you’re a backend or infrastructure engineer who follows YC W24 and dreams of joining a founding team, this opportunity is a rare blend of high‑impact AI research and cutting‑edge cloud engineering. The role promises a competitive salary, meaningful equity, and the chance to shape the core platform that powers an AI‑native hedge fund.

Event Horizon Labs – From YC W24 to Autonomous Quant Research

Founded in 2023, Event Horizon Labs emerged from the Y Combinator W24 batch with a bold mission: replace human‑driven quantitative research with autonomous AI agents that generate, test, and execute trading strategies at scale.

The company’s core product is an orchestrator that runs hundreds of AI agents in parallel, each exploring hypothesis spaces, back‑testing ideas, and feeding results back into a shared knowledge base. Early results show profitable strategies emerging within days, a speed that traditional quant teams can’t match.

Backed by a team of alumni from Citadel, Jump Trading, Stanford, Caltech, and Berkeley, Event Horizon Labs is positioned at the intersection of distributed systems and generative AI. The founding infrastructure engineer will be the architect of the platform that makes this vision possible.

Founding Infrastructure Engineer – Role Overview

As a founding engineer, you will own the end‑to‑end infrastructure stack, from compute scheduling to low‑latency trading execution. The position is in‑person in San Francisco, allowing close collaboration with the founders and research scientists.

Key Responsibilities (MECE)

• Design and implement a orchestration layer that dispatches parallel research sessions across hundreds of AI agents.
• Build streaming data pipelines for real‑time market ingestion, ensuring sub‑millisecond latency.
• Develop observability tools for experiment tracking, reproducibility, and system health monitoring.
• Engineer a low‑latency trading system that can act on signals generated by the AI agents.
• Optimize Kubernetes clusters for massive scale, handling dynamic resource allocation and cost efficiency.
• Collaborate with data scientists to translate research prototypes into production‑ready services.

Technology Stack

Beyond the core stack, the role encourages experimentation with emerging AI‑infrastructure tools such as Chroma DB integration for vector search, or OpenAI ChatGPT integration for rapid prototyping of research agents.

Compensation, Equity, and Perks

Event Horizon Labs offers a compensation package designed to attract top‑tier talent:

• Base salary ranging from $150K to $200K, commensurate with experience.
• Founding equity between 1 % and 3 %, vesting over four years with a one‑year cliff.
• Comprehensive health, dental, and vision coverage.
• Generous relocation assistance for candidates moving to San Francisco.
• Unlimited vacation policy, encouraging a healthy work‑life balance.
• Access to cutting‑edge AI research tools, including the AI marketing agents platform for personal projects.
• Professional development budget for conferences, certifications, and courses.

For a deeper look at how UBOS structures its pricing and value proposition for AI‑driven teams, see the UBOS pricing plans. The same principles of transparent, usage‑based billing apply to the infrastructure you’ll be building at Event Horizon Labs.

Why This Founding Role Is a Career Catalyst

Joining a YC‑backed startup at the founding stage accelerates your professional trajectory in three ways:

1. Ownership: You’ll own the entire stack, from Kubernetes clusters to low‑latency trading gateways, giving you a portfolio of end‑to‑end systems that few engineers ever see.
2. Impact: Every line of code directly influences the fund’s P&L. Your work will be measured in real‑world dollars, not just metrics.
3. Network: Working alongside YC alumni, quant veterans, and AI researchers expands your professional network exponentially.

For engineers who love building platforms rather than just applications, the Workflow automation studio offers a glimpse of the kind of low‑code orchestration that can complement your custom infrastructure work.

How to Apply – Next Steps

Ready to shape the future of autonomous AI research? Follow these steps:

• Prepare a concise résumé highlighting experience with Kubernetes, Python, Go, and low‑latency systems.
• Write a short cover letter that explains why you’re excited about building infrastructure for AI‑driven finance.
• Submit your application through the official posting: Event Horizon Labs – Founding Infrastructure Engineer.
• While you wait, explore the UBOS platform overview to see how modern AI platforms handle scaling, security, and observability.
• Check out the UBOS templates for quick start if you want to prototype a micro‑service that could integrate with Event Horizon’s agent ecosystem.
• Consider experimenting with the AI SEO Analyzer or the AI Article Copywriter to sharpen your prompt‑engineering skills—an increasingly valuable asset for AI‑centric infrastructure teams.

For any questions about the role or the interview process, feel free to reach out directly to the founders via the contact form on the About UBOS page, where the team is happy to connect with fellow engineers.

Conclusion

Event Horizon Labs’ search for a founding infrastructure engineer is more than a job posting—it’s an invitation to join a pioneering effort that blends AI research, high‑frequency finance, and cloud‑native engineering. The role offers a compelling mix of salary, equity, and the chance to leave a lasting imprint on a fast‑growing YC‑backed startup.

Whether you’re looking to accelerate your career, work on bleeding‑edge technology, or simply be part of a team that’s redefining quantitative research, this position checks all the boxes. Apply today, and you could be the next architect of the autonomous AI infrastructure that powers tomorrow’s financial markets.