The fastest inference for open models. Backed by Y Combinator.
About the role
Work with engineering and finance to understand which models and hardware configurations make money, and what changes that. Build models connecting inference performance, utilization, pricing, compute costs and cash requirements. Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
At Wafer, we are building AI systems that automatically optimize inference workloads across silicon. Turning better performance into a better business takes more than faster software. We need the right compute, on the right terms, serving the right demand.
We're looking for someone who understands compute deeply and can connect the technical details to the economics. You should be able to go from GPU architecture to a supplier contract to a financial model, and explain what we should do.
Work with engineering and finance to understand which models and hardware configurations make money, and what changes that.
Build models connecting inference performance, utilization, pricing, compute costs and cash requirements.
Evaluate GPU supply and supplier proposals. Compare price, availability, contract length, deposits, reliability and flexibility.
Help source and negotiate capacity, then track whether delivery and performance match what we agreed.
Manage provider relationships day to day: onboarding new capacity, escalating incidents and holding providers to their commitments.
Turn changing demand and hardware economics into concrete capacity decisions.
Keep an accurate picture of the...
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