Solutions Architect - US

FuriosaAI
Santa Clara
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 2-5 yearsSkills: ["Written communication","Verbal communication"]

Serve as the primary technical authority for US customers deploying AI/LLM models on FuriosaAI RNGD chips/servers. Own end-to-end enablement, delivering POCs, benchmarking, and live debugging in customer environments. Translate deep technical capabilities into business value for pre-sales and enterprise evaluations, train customers on integration and optimization workflows, and feed technical insights back to Seoul HQ engineering.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
FuriosaAI
FuriosaAI
6 days ago

Solutions Architect - US

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 minutes agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Serve as the primary technical authority for US customers deploying AI/LLM models on FuriosaAI RNGD chips/servers. Own end-to-end enablement, delivering POCs, benchmarking, and live debugging in customer environments. Translate deep technical capabilities into business value for pre-sales and enterprise evaluations, train customers on integration and optimization workflows, and feed technical insights back to Seoul HQ engineering.
Location: Santa Clara
Workplace: Onsite
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 RNGD NPU using the Furiosa SDK.
  • •Develop POCs, benchmarking studies, and live debugging sessions directly in customer environments.
  • •Act as the technical authority to the US BD/Sales team during pre-sales and enterprise evaluations, translating technical capability into business value.
  • •Develop deep expertise in FuriosaAI’s hardware and software stack and demonstrate it at US technical forums, AI conferences, and customer workshops.
  • •Onboard and train customers on integration patterns, optimization workflows, and best practices after purchase; serve as a feedback loop to Seoul HQ teams.

Key Requirements

  • •2–5 years in a US customer-facing technical role (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or equivalent) at an AI infra, cloud, or semiconductor company.
  • •Current awareness 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 strong written and verbal communication.
Experience:2-5 yearsAI infrastructureCloudSemiconductor
Skills:Written communicationVerbal communication
Languages:English
Tech Stack:Furiosa SDKRNGDNPUVLLMSGLangTensorRT-LLMTriton Inference ServerLangChainLlamaIndexLangGraphAutoGenMCPPythonPyTorchTensorFlowCC++Rust

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