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← FuriosaAI

Scale-Up Ethernet Engineer

FuriosaAI · Seoul, South Korea · Hwaseong(Dongtan), South Korea

Infrastructureonsite
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At a glance

Highlights

  • Build Ethernet-based Scale-Up system that links many AI accelerators as one.
  • Validate full rack from link bring-up to LLM inference over remote memory.
  • Use AI agents to automate bring-up, long tests, log analysis and docs.

Ideal candidate

Systems-minded engineer who sees the rack as one computer and enjoys chasing issues across hardware and software. Comfortable with AI agents and collaborating across teams to make large-scale systems reliable.

Requirements

  • Bachelor's in computer, electrical engineering or related field or equivalent practical experience
  • Understand data center Ethernet including switch, lossless and RDMA and configure/debug network devices on Linux
  • Experience developing or debugging semiconductor system software at register and memory-map level
  • Experience tracing issues with hardware, firmware and software engineers
  • Experience with rack/server management via BMC/OpenBMC, Redfish, PLDM/MCTP, OpenRMC or rack-manager fleet systems
  • Experience building hardware test lab, CI regression, telemetry or long-term stability test infrastructure
  • Experience building workflows delegating work to multiple AI agents
  • Experience with OCP rack hardware including Open Rack ORv3/ORW, 48V/800VDC, Power Shelf/BBU or rack bring-up with ODM
  • Understanding of Scale-Up standards including OCP ESUN/SUE-T, UEC LLR/CBFC, UALink or OCP/SONiC community 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
More about FuriosaAI →
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