Sr. Compiler Engineer

The compiler decides whether our inference silicon runs at 30% utilization or 90% or more. That's the job. Together with our team, you'll build the backend that turns AI workloads into microcode for Tensordyne hardware - Napier today and the silicon that follows. This is a clean-slate compiler effort targeting a genuinely unusual architecture. You'll have the opportunity to work on fundamental parts of the compiler.

The users are changing, too. Increasingly, model mapping and optimization will be done by agents as well as engineers. A compiler designed primarily for humans tends to optimize for escape hatches and manual control. A compiler designed to work effectively with agents needs transparent cost models, structured feedback, machine-readable diagnostics, and fast closed-loop iteration. We need both in the same stack and very few teams are building for this interaction today.