Solution Architect (Junior)
FuriosaAI · Seoul, South Korea
Infrastructureonsitejunior
At a glance
Highlights
- Design and improve AI inference environments for enterprise customers.
- Build demos and validate workloads through PoCs and performance analysis.
- Help ship real-world AI-native compute in mass production globally.
Ideal candidate
Hands-on problem solver who learns by building and testing, shares findings clearly, and is motivated to make AI computing sustainable and help customers succeed.
Requirements
- Bachelor's degree in computer science or related field or equivalent experience
- Ability to write and modify Python programs and analyze results and errors
- Ability to analyze root causes with data and validate solutions experimentally
- Ability to explain technical reasoning clearly and collaborate openly
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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