Platform Engineer
General Compute · San Francisco · NYC
Infrastructureremote
At a glance
Highlights
- Build the inference cloud control plane turning racks into sellable product.
- Define how a mixed-hardware fleet gets scheduled, routed and served reliably.
- Ship decode that generates tokens 5-7x faster than GPU competitors.
Ideal candidate
Systems-minded builder who thrives in ambiguity and wants founding ownership at a tiny startup, treating reliability as day-one infrastructure while shaping a new inference cloud.
Requirements
- Strong systems engineering background on distributed cloud control planes and multi-tenant orchestration at scale
- Comfort being a high-impact IC rather than a manager
- Track record building reliability from scratch
- Experience with resource scheduling or bin-packing algorithms for heterogeneous compute pools
- Experience with multi-cluster federation or distributed consensus systems (Raft, ZooKeeper, or similar)
- Comfort with hardware heterogeneity and ambiguity
- Genuine interest in being an early hire at a ~6-7 person company
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
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