Jobs in Seoul, South Korea

About the role

Designs and implements the low-level runtime stack that drives FuriosaAI's NPU hardware to its theoretical limits — from device driver interfaces and DMA-based I/O to kernel execution scheduling, multi-node inference, and embedded firmware.

What you'll bring

• BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 3+ years of relevant industry experience or equivalent practical experience in systems programming using Rust, C, or C++
• Solid understanding of computer architecture fundamentals, including memory hierarchy, cache coherency, operating systems, DMA, interrupts, and MMIO
• Strong communication skills, with the ability to gather requirements and drive technical alignment across teams
• Deep expertise in low-latency runtime systems, embedded firmware development, or high-performance I/O — especially in the context of accelerator hardware.
• Experience designing and implementing low-latency asynchronous execution models and scheduling systems.
• Experience with DMA engines, scatter-gather I/O, or other zero-copy data transfer mechanisms.
• Experience developing embedded firmware for ARM-based processors (bare-metal or lightweight RTOS environments).
• Familiarity with RDMA technologies and high-performance networking for distributed or multi-node systems.
• Experience with CUDA low-level runtime internals such as CUDA Graphs, stream-based execution, and asynchronous kernel launch optimization.
• Experience with kernel-level performance optimizations (e.g., Linux kernel modules, eBPF, perf, ftrace).
• Understanding of deep learning inference workloads and their hardware execution characteristics.