Software Engineer, Site Reliability Engineer
FuriosaAI · Seoul, South Korea
Infrastructureonsite
At a glance
Highlights
- Drive reliability architecture so failures are isolated and recover safely.
- Build observability foundations to measure user impact and failure modes.
- Ship real-world silicon already in mass production with global enterprise customers.
Ideal candidate
A systems-minded engineer who thinks end-to-end about production reliability and loves turning operational pain into automation. You care about SLOs, clear signals, and safe, low-toil operations.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Strong programming skills in one or more general-purpose languages such as Rust, Python, or Go
- Solid understanding of operating systems, computer networks, and cloud-native or container-based environments
- Ability to analyze technical problems and communicate clearly with engineering 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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