iFrame Corporation is hiring for a role on the runtime team to own end-to-end performance for multiple model families on our managed inference runtime. You will write fused CUDA/Triton kernels and work across tokenizer through KV cache and decoding, targeting H100/H200 and other accelerators.
With 5+ years in systems-level performance and a track record of speed-ups, you will design long-context primitives and publish external write-ups quarterly while sharing on-call duties with SRE and
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