AI Accelerator Architect for Energy-Efficient LLM Inference
Jobleads-US
Normal Computing seeks a Hardware ASIC Architect to define the silicon and system microarchitecture for a novel AI accelerator platform, aiming for huge energy-efficiency gains for LLM and diffusion workloads. You will lead hardware/software co-design, build performance models, and establish microarchitectural specs to drive RTL implementation.
Responsibilities include creating novel compute blocks and datapaths, translating workloads into hardware requirements, and defending tradeoffs from
#J-18808-Ljbffr Jobleads-USVacancy posted 1 day ago
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