Solution Architect (Senior)
FuriosaAI · Seoul, South Korea
Infrastructureonsitesenior
At a glance
Highlights
- Design and validate AI inference environments for enterprise customers.
- Lead PoCs that prove real-world performance for global AI workloads.
- Help build sustainable, energy-efficient compute for the Inference Era.
Ideal candidate
Hands-on problem-solver who loves diving into customer challenges, experimenting directly, and explaining technical trade-offs clearly to guide real-world AI deployment decisions.
Requirements
- Bachelor's degree in computer engineering or related field or equivalent experience
- Able to write and modify programs in Python and analyze results and errors
- Able to analyze root causes using data and experiments and validate solutions
- Able to clearly explain technical rationale and collaborate through questions and sharing
- Linux development and operations experience
- Development experience with C, C++, Rust or similar languages
- Automation of development, testing and benchmarking with scripts
- Experience with LLM serving tools such as vLLM, SGLang or TensorRT-LLM
- Experience with Docker or Kubernetes
- Experience with benchmark design or model accuracy evaluation
- Presales or B2B technical support experience
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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