GPU Performance Architect: Low-Latency CUDA Mastery

SIG Susquehanna is seeking a GPU Performance Engineer to optimize CUDA kernels for low-latency inference workloads. You will collaborate with quantitative researchers to enhance performance through low-level optimizations while managing complex model structures.

This position demands a PhD in a quantitative field, solid programming skills in C/C++, and a deep understanding of GPU architectures. Join us in shaping optimized compute pipelines that significantly enhance inference performance.