Hardware - Signal/Power Integrity Engineer (On-/Off-Chip)
FuriosaAI · Seoul, South Korea
Infrastructureonsitesenior
At a glance
Highlights
- Build high-performance, energy-efficient AI inference hardware for global scale.
- Ship real silicon with RNGD in mass production and next-gen platform underway.
- Pioneer full-stack co-design from silicon through compiler and serving frameworks.
Ideal candidate
Seasoned hardware engineer passionate about sustainable AI compute who thrives co-optimizing chip, package, and system robustness in a mission-driven, low-ego team.
Requirements
- BS or MS in Electrical Engineering, Physics, or related field
- 8+ years of experience in component- and system-level SI/PI analysis
- Solid understanding of SI/PI fundamentals and methodologies
- Hands-on experience with VNA, TDR, and real-time oscilloscopes
- Proficient in SIwave, HFSS, ADS, HSPICE, Allegro, RedHawk-SC, SC-ET, or RedHawk-3DIC
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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