Solutions Architect - US
FuriosaAI · Santa Clara, California
Infrastructureonsitemid-level
At a glance
Highlights
- Deploy RNGD inference chips into live enterprise customer environments.
- Lead POCs and benchmarking to prove efficient AI at global scale.
- Partner with elite ecosystem including TSMC, Broadcom, SK Hynix.
Ideal candidate
A customer-obsessed technical storyteller with 2–5 years in AI infra who thrives in live deployments, bridges engineers and executives, and wants to challenge GPU status quo for sustainable AI.
Requirements
- 2–5 years in US customer-facing technical role at AI infra, cloud, or semiconductor company
- Actively current on AI/LLM landscape, model releases and inference serving evolution
- Hands-on experience with modern inference stacks such as vLLM, SGLang, TensorRT-LLM or Triton
- Hands-on experience with agent frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen or MCP
- Proficiency in Python and DNN frameworks such as PyTorch and TensorFlow
- Strong written and verbal communication with engineers and VP/C-suite executives
- Authorized to work in the US and able to travel to customer sites and Seoul HQ
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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