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#io-uring • $197k-$267k USD Base

io_uring in Production Rust: Architecture & Open Roles

Linux kernel asynchronous ring-buffer I/O for NVMe & network sockets

1. Why Teams Deploy io_uring

Traditional POSIX file I/O in Linux requires thread pools because `epoll` does not support regular files, and Linux AIO suffers from severe quirks. `io_uring` solves this by sharing two lock-free ring buffers, the Submission Queue (SQ) and Completion Queue (CQ), in memory mapped between user space and the Linux kernel. Next-gen Rust databases like Turso's Limbo (SQLite rewrite) and Qdrant use `io_uring` to saturate modern NVMe drives.

2. io_uring Kernel & Memory Internals

With `io-uring` or thread-per-core runtimes like `glommio` and `monoio`, a storage engine queues dozens of NVMe read, write, `fsync`, and socket `recv` operations into the SQ ring and submits them in a single `io_uring_enter` syscall, or zero syscalls when `IORING_SETUP_SQPOLL` kernel thread polling is enabled. Registering fixed pre-allocated memory buffers (`IORING_REGISTER_BUFFERS`) eliminates per-I/O page pinning overhead inside the kernel.

3. io_uring Interview & Hiring Bar

Because `io_uring` operates on completion-based ownership rather than readiness-based borrowing (`Poll`), Rust engineers who understand buffer pinning, `tokio-uring`, and completion safety command top-decile storage salaries.

Open io_uring Engineering Positions (5)