Fullstack Engineer – Data Platform

General Intuition & Medal • New York, NY

7d • $180,000 - $300,000

About The Position

General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and discover new games every year. We've raised over $670M from Khosla, GC, Valor, and Point72 since October 2025, and recently closed our latest round at a $6.2B valuation.

The Role
Billions of gameplay clips a year come in on one side. Large action models and world models train and serve on the other. Everything in between - the pipelines that turn raw footage into training data, the clusters that consume it, the storage and I/O that keeps them fed, the runtime that serves the results - is infrastructure, and it is what you own.

This is deliberately not a narrow role. We are not hiring a Kubernetes specialist, or a data engineer, or an inference person. We're hiring someone who can move from cluster scheduling to disk throughput to a preprocessing pipeline to inference latency in the same week, and who becomes the technical reference other engineers bring their system designs to, across both GI and Medal.

We weight two routes in the same. Either you spent years deep in infrastructure at a large tech company or a serious lab, then left to build your own thing as founder, co-founder, or founding engineer, and you've been at it for at least a year. Or you've spent five or six years going deep on hard infrastructure inside a big company or lab, you own a system people have heard of, and you're ready for a place where you decide what gets built. Either way, you're still writing code today and you want to keep writing it.

You'll work directly with the founding team, at a company small enough that the decisions are yours to make.

Requirements

• Years of experience deep in infrastructure at a large tech company or a serious lab, then left to build your own thing as founder, co-founder, or founding engineer, and have been at it for at least a year.
• OR five or six years going deep on hard infrastructure inside a big company or lab, owning a system people have heard of, and ready for a place where you decide what gets built.
• Still writing code today and want to keep writing it.
• Experience with Kubernetes, multi-region.
• Experience with GPUs across cloud providers.
• Proficiency in Python and Go, with Rust and C++ where performance demands it.
• Experience with Terraform.
• Experience with in-house frontier models: action models, world models, video understanding.

Responsibilities

• Own orchestration and GPU clusters - scheduling, utilization, capacity.
• Build preprocessing pipelines that turn a very large corpus of raw gameplay video into training-ready data, at a throughput that keeps training from waiting on data.
• Treat disk and network I/O as a first-class constraint rather than an afterthought.
• Optimize inference in production - batching, quantization, KV cache, serving runtimes - and own the latency and cost numbers rather than reporting them.
• Be at ease across cloud providers and comfortable owning infrastructure as code, multi-region deployment, and the reliability of everything above.
• Take ownership of substantial systems, deciding how they were built, choosing technologies, and carrying them to production.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed