FuriosaAI
Solutions Architect - US
Santa Clara, California +1 · Full-time · Posted Aug 22, 2026
- Location
- Santa Clara, California
Santa Clara, California, United States - Experience
- 2–5 years in a US customer-facing technical role; listed roles include Solutions Architect, Sales Engineer, and Forward Deployed Engineer, or equivalent.
- Visa sponsorship
- Must be authorized to work in the US.
About the job
Enable US customers to deploy AI models on FuriosaAI’s RNGD NPU, providing technical support from proofs of concept and evaluations through optimization, onboarding, and ongoing customer feedback.
What you'll do
- Lead customer deployments, proofs of concept, benchmarking, and live debugging using the Furiosa SDK.
- Support sales evaluations and explain technical capabilities to engineering and executive audiences; train customers after purchase.
- Present FuriosaAI’s technology at forums and workshops, and relay customer feedback to product and engineering teams.
What they ask for
- 2–5 years in a US customer-facing technical role at an AI infrastructure, cloud, or semiconductor company, or equivalent.
- Hands-on experience with modern inference stacks and agent/orchestration frameworks.
- Proficiency in Python and comfort with PyTorch or TensorFlow.
- Strong written and verbal communication; authorized to work in the US and able to travel to customer sites and Seoul HQ periodically.
Nice to have
- Experience at a US AI chip company, cloud silicon team, or AI infrastructure startup; familiarity with accelerator ecosystems and data center hardware.
- Experience with inference optimization; proficiency in C, C++, or Rust; experience with distributed or cross-timezone teams.
Tools
RNGD NPU, Furiosa SDK, vLLM, SGLang, TensorRT-LLM, Triton Inference Server, LangChain, LlamaIndex
AI focus
Customer-facing deployment and optimization of AI/LLM inference on FuriosaAI hardware, including proofs of concept, benchmarking, debugging, and integration support.
Model-written summary · the original posting is authoritative