1 open role mentioning FUSE
Modal
Modal's Inference Runtime team is responsible for the container runtime stack that powers inference and training workloads across our infrastructure. We operate at the intersection of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our primary objective is to ensure that demanding ML workloads start quickly, run efficiently, and remain securely isolated, regardless of their resource requirements. We are seeking a systems engineer with a passion for deep-stack work to build production runtime infrastructure in Rust and Go, tackle complex Linux and performance issues, and contribute to the architecture of our container platform. This role involves close collaboration with gVisor maintainers and potential contributions to the upstream runtime.
$220k - $300k