Member of Technical Staff - Compiler Engineer
About us
Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference.
We combine large-scale compute infrastructure with an execution platform that partitions AI workloads and maps each stage to the hardware best suited to run it.
We work with foundation labs, hyperscalers, and AI-native companies, giving our team access to technical problems spanning frontier models, production infrastructure, and emerging hardware.
About the role
As a Member of Technical Staff, you will build the compiler infrastructure that determines how AI workloads are represented, optimized, and executed across hardware with different architectures, performance characteristics, and memory systems.
This is compiler engineering at the boundary of ML systems and distributed execution. The problems do not end when code is generated: compiler decisions interact directly with scheduling, communication, memory movement, kernel execution, and serving performance.
You will work across intermediate representations, graph transformations, lowering, execution planning, and runtime interfaces. Compiler decisions directly shape where computation runs, how intermediate state moves between devices, which kernel
