Solutions Architect - US

FuriosaAI
Santa Clara
Full timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Customer-facing"]

Own end-to-end technical enablement for US customers deploying AI models on FuriosaAI’s RNGD using the Furiosa SDK. Build POCs, run benchmarking studies, and debug live in customer environments, while translating deep technical capability into business value for BD/Sales and enterprise stakeholders. Develop expertise across Furiosa’s hardware/software stack, present it at technical forums, and feed customer learnings back to Seoul product and engineering teams.

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FursaFursa
FuriosaAI
FuriosaAI
2 weeks ago

Solutions Architect - US

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 42 minutes agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Own end-to-end technical enablement for US customers deploying AI models on FuriosaAI’s RNGD using the Furiosa SDK. Build POCs, run benchmarking studies, and debug live in customer environments, while translating deep technical capability into business value for BD/Sales and enterprise stakeholders. Develop expertise across Furiosa’s hardware/software stack, present it at technical forums, and feed customer learnings back to Seoul product and engineering teams.
Location: Santa Clara
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own end-to-end technical enablement for US customers deploying AI models on FuriosaAI’s RNGD NPU using the Furiosa SDK.
  • •Develop POCs, benchmarking studies, and perform live debugging sessions in customer environments.
  • •Serve as the technical authority for US BD/Sales during pre-sales and enterprise evaluations, translating technical capability into business value.
  • •Develop deep expertise in FuriosaAI’s hardware and software stack and present it at US technical forums, AI conferences, and customer workshops.
  • •Onboard and train customers on integration patterns, optimization workflows, and best practices; relay technical feedback back to Seoul HQ product and engineering teams.

Key Requirements

  • •2–5 years in a US customer-facing technical role (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or equivalent) in AI infrastructure, cloud, or semiconductors.
  • •Strong, current understanding of the AI/LLM landscape, including inference frameworks and serving stack evolution.
  • •Hands-on experience with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server (or similar).
  • •Hands-on experience with agent and orchestration frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or MCP-based tooling.
  • •Proficiency in Python and comfort with DNN frameworks (PyTorch, TensorFlow), plus authorization to work in the US.
Experience:AI infrastructureCloud siliconSemiconductorAI compute
Skills:CommunicationCustomer-facing
Languages:En
Tech Stack:RNGDFuriosa SDKVLLMSGLangTensorRT-LLMTriton Inference ServerLangChainLlamaIndexLangGraphAutoGenMCPPythonPyTorchTensorFlowCC++RustPCIe

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

FuriosaAI
Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.
Industry: Hardware Devices
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: Seoul, South Korea
Founded: 2017
Glassdoor
Glassdoor: 4.6
WebsiteLinkedInGlassdoor