GPU Performance Engineer for Multimodal Transformers

Luma is seeking an expert GPU optimization engineer to accelerate multimodal transformer workloads. You will profile, tune, and deploy kernel- and operator-level improvements across GPUs, CPUs, and accelerators to maximize training throughput and minimize latency.

You will implement fused kernels, leverage tensor cores, and push Triton/CUDA capabilities, while collaborating on distributed multi-node deployment and performance instrumentation.