Production Operation Engineer
FuriosaAI · Seoul, South Korea
Infrastructureonsitemid
At a glance
Highlights
- Support mass production operations for FuriosaAI's NPU products in live factories.
- Analyze production yield and test logs to drive process improvements.
- Help bring RNGD AI inference hardware to global enterprise deployment.
Ideal candidate
An operations-minded problem solver with 3-5 years in manufacturing or system operations who cares about stable production, data-driven improvement, and clear collaboration with partners.
Requirements
- 3-5 years hands-on experience in system operations, data analysis or process improvement
- Understand production or test flow and stably operate systems while analyzing issues
- Write, modify and maintain production operation programs and scripts in Python or Bash
- Investigate test errors by checking files, logs, processes and execution status in Linux
- Collect and validate data and explain causes and improvements from yield and test results
- Manage program change history and execution conditions and write operation and recovery guides
- Clearly share and resolve operational issues with manufacturing partners and internal teams
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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