The RoleWe have a lot of compute, and a lot more work for it. We're looking for a Systems Engineer who knows how to find bottlenecks and move them somewhere we can live with. Your work determines how much goodput we get out of our compute. Some example areas you might work on:
- AI workload and system co-design - rethink the AI application, execution, and hardware choices together to improve performance across the stack
- Performance engineering - profile across the stack, find where time and resources go, and fix what matters
- Reliable distributed systems - design how work and data move across machines, balancing parallelism, communication, and correctness under load and failure
- Heterogeneous compute and workloads - make large-scale mixes of sandboxes, agent harnesses, training, and inference run efficiently together across CPUs and accelerators
We offer a base salary of $300,000-$400,000 and a meaningful equity grant, depending on experience and background, along with competitive benefits.
