We build a new class of models that can perceive, predict, and act in virtual and physical environments. Backed by General Catalyst and Khosla.
About 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.
What they're looking for
- You own orchestration and GPU clusters - scheduling, utilization, capacity. Expensive hardware sitting idle is your problem, and so is a training run blocked behind the scheduler
- You build the 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
- You treat disk and network I/O as a first-class constraint rather than an afterthought. At our data volumes it is frequently the bottleneck, and you know how to find out whether it is
- You optimize inference in production - batching, quantization, KV cache, serving runtimes - and you own the latency and cost numbers rather than reporting them
- You are at ease across cloud providers and comfortable owning infrastructure as code, multi-region deployment, and the reliability of everything above
- You can draw a circle around something substantial and say: this was mine. You decided how it was built, you chose the technologies, and you carried it to production. Not "contributed to a team that" - you made the calls, and you have several examples
More about this role
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 recently raised $320M at a $2.3B valuation led by Khosla Ventures with participation from General Catalyst, Eric Schmidt, and Jeff Bezos, to discover the next generation of real-world intelligence.
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...
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