Hardware - Physical Engineering (PI/PD) Engineer
FuriosaAI · Seoul, South Korea
Infrastructureonsitemid-level
At a glance
Highlights
- Evaluate chip PPA to shape next-generation AI-native compute platform.
- Build high-performance, energy-efficient inference hardware at global scale.
- Work on RNGD in mass production with next-gen platform in development.
Ideal candidate
A collaborative, low-ego chip engineer passionate about sustainable AI compute who enjoys optimizing PPA and turning architecture ideas into real mass-production silicon.
Requirements
- Bachelor's degree in Electronic Engineering or related technical field
- Experience using Verilog HDL for digital logic design
- 2+ years with logic synthesis, LEC, STA, SDC and UPF development
- Experience with Synopsys toolchain (DC, FM, PT) and TCL/shell scripting
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
Posted · Last seen