Distributed Systems Engineer

About Relace

Relace is building a globally distributed inference cloud. Customers send us requests, we run them on our own fleet of GPUs across the world, and we compete on price, speed and reliability against companies far larger than us. We have customers and revenue today, we’re venture backed, and the team is still small, so roles come with a lot of responsibility and room to grow.

We build our own stack, and the fleet runs on Kubernetes across multiple clouds. Performance here is the business: making the system ten percent faster makes the company roughly ten percent more money, and we can show you the number.

Some numbers: we process 800B+ tokens a day, we’ve grown 3x in the last three months, we are regularly one of the top providers by volume on OpenRouter, and we raised a $23M Series A led by Andreessen Horowitz, with Matrix Partners and Y Combinator.

The role

You would work on how the globally distributed inference runs: the routing layer deciding which machine handles a request, what happens when more work arrives than we have capacity for, and how the fleet grows and shrinks across clouds as demand moves. A lot of it is our own Rust service and the Kubernetes services that manage a multi-cloud fleet.

What we need to see

• Around five or more years building real production systems where latency and failure behaviour mattered: serving systems, control planes, schedulers, databases, networking, trading systems. Not data pipelines or analytics.
• A systems language you know well. Rust, C++ or Go is good.
• Real ownership of something that ran under load, and the ability to talk through a production failure you debugged yourself, in detail.
• Kubernetes at the level of someone who has extended it, particularly on low-reliability infrastructure.

Nice to have

Experience with a scheduler or load balancer as a real project rather than a side task; work with spot or preemptible capacity; any exposure to AI serving systems, which is genuinely optional. We can teach you our domain, but we can’t teach distributed systems instincts.

Working here

San Francisco, in person, five days a week. This is a senior role, with competitive compensation plus equity.