Systems Software Engineer (신입)
FuriosaAI · Seoul, South Korea
Infrastructureonsiteentry-level
At a glance
Highlights
- Bring new AI accelerator SoCs to life from FPGA prototype to first silicon.
- Own boot firmware and power management for high-efficiency AI compute.
- Help ship energy-efficient inference hardware running live enterprise workloads.
Ideal candidate
New graduate or early-career engineer fascinated by how hardware and software meet at the lowest level. Curious, persistent debugger who wants hands-on silicon bring-up experience to make AI compute sustainable.
Requirements
- BS or higher in Computer Science, Electrical/Electronic Engineering, Computer Engineering or related field
- Solid programming skills in C, plus shell script, Python, or Go
- Understanding of computer architecture fundamentals including CPU, memory hierarchy, cache, MMU and interrupts
- Basic understanding of Linux kernel and device drivers
- Familiarity with operating system concepts and Linux development environment
- Strong problem-solving skills and willingness to dig into low-level details
Lab profile
About FuriosaAI
Builds high-performance, high-efficiency AI compute for the Inference Era.
What they build
- AI inference accelerators
- High-efficiency AI compute hardware
Known for
- Energy-efficient AI chip architecture
- High-performance AI inference
- AI compiler development
Key facts
- Founded in 2017
- Offices in Korea and Silicon Valley
- Compiler-focused R&D lab in Lisbon
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