Hardware - AI Chip Architect
FuriosaAI · Seoul, South Korea
Infrastructureonsitemid-level
At a glance
Highlights
- Build AI-native compute platform tackling AI hardware energy crisis.
- Own chip modules end-to-end from specification to implementation.
- Help ship next-gen platform developed in partnership with Broadcom.
Ideal candidate
Experienced chip designer who thrives owning modules end-to-end and sweating power and efficiency. Low-ego, mission-driven builder excited to ship sustainable AI silicon at global scale.
Requirements
- Master's degree in Electrical Engineering, Computer Science or equivalent practical experience
- 2+ years of industry experience in chip design, specializing in RTL design, logic synthesis, verification and timing closure
- Experience implementing microprocessor simulators in C++ or other high-level languages
- Experience modeling PPA of the design
- Experience with scripting languages to automate simulation and analysis
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