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You will design and build agent runtime infrastructure while defining security boundaries for untrusted code execution. Additionally, you will architect distributed scheduling systems and ensure performance, isolation, and reliability at scale.
San Francisco / Remote
At Superserve, our mission is to give builders the foundation to run intelligent software in production.
We’re building agent sandboxes—runtime infrastructure that is fast, durable, and secure by default. This is the layer that lets AI systems actually run in the real world.
We’re a small, globally distributed team based in San Francisco, backed by forward-thinking investors.
We’re looking for a platform engineer to scale the architecture and evolution of our core runtime.
This is not a typical backend role. You’ll define how untrusted AI agents execute safely, how systems scale under load, and how we meet security and compliance standards from first principles.
You’ll work directly with the founder and own the platform end-to-end: from low-level runtime design to distributed scheduling to production reliability.
Bonus:
AI agents are unreliable, unsafe, and hard to run in production today.
We’re fixing that.
This role is about building the foundation that makes intelligent systems actually usable in real-world environments—fast, secure, and dependable.
If we get this right, a whole new category of software becomes possible.
This is a high-ownership, high-agency role.
We’re looking for someone who wants to own a critical layer of the stack, not just contribute to it.
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