[신입/경력] Hardware Engineer (석사/박사)
FuriosaAI · Seoul, South Korea
Infrastructureonsiteentry-level
At a glance
Highlights
- Build next-gen NPU for high-performance, energy-efficient AI inference.
- Join as RNGD ships globally with next platform co-developed with Broadcom.
- Pioneer full-stack co-design from silicon to compiler and serving.
Ideal candidate
MS/PhD in EE or CE passionate about sustainable AI compute who thrives in deep technical collaboration to ship real-world silicon.
Requirements
- Master's or PhD in electrical, computer engineering or related field
- Verilog/SystemVerilog-based RTL design or verification experience including research projects
- Experience using scripting languages such as Python, TCL and Shell
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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