Algorithm - AI Research Engineer
FuriosaAI · Seoul, South Korea
Infrastructureonsite
At a glance
Highlights
- Develop proprietary LLMs specialized for coding and agentic tool-use tasks.
- Build async RL pipelines for LLM post-training on Furiosa NPU hardware.
- Collaborate with top global research institutions on frontier AI.
Ideal candidate
An ambitious AI researcher passionate about building frontier LLMs and turning cutting-edge research into real impact through global collaboration.
Requirements
- Master's degree in AI-related field or equivalent experience
- Experience developing AI technology with deep learning frameworks such as PyTorch
- Eligible for international business travel
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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