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Head of Infrastructure

General Compute · San Francisco

Infrastructureremotelead
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At a glance

Highlights

  • Own the infrastructure layer of a neocloud running alternative AI chips.
  • Build gateway, routing and observability for 5-7x faster token generation.
  • Grow from hands-on first six months to leading a heterogeneous fleet.

Ideal candidate

A hands-on infrastructure leader who thrives early-stage and obsesses over tail latency. You want end-to-end ownership, close vendor partnership, and building on-call culture from zero.

Requirements

  • 7+ years in infrastructure, SRE, or platform engineering including at an inference, ML, or HPC shop
  • Hands-on with Kubernetes at production scale including debugging complex issues
  • Strong instincts for tail latency, p99 and utilization
  • Comfortable owning vendor relationships where vendor bugs become production issues
  • Track record building observability practices that catch problems
  • Experience with on-call through real incidents
  • Wants to be first infra hire at an early-stage company
  • Experience operating non-NVIDIA accelerators in production
  • Background with model-serving stacks such as vLLM, TGI, TensorRT-LLM, SGLang
  • Network fabric experience at data-center scale
  • Prior experience hiring and managing an infra team
  • Comfort at hardware boundary including firmware, drivers, thermals

Lab profile

About General Compute

Neocloud for alternative chips, running fragmented inference on purpose-built silicon.

What they build

  • Alternative-chip inference cloud
  • Split prefill-decode inference serving

Known for

  • Productionizing SambaNova, Cerebras, Positron, d-Matrix hardware
  • Rack procurement and data center operations
  • ML compiler and model bring-up
More about General Compute →
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