CUDA Kernel Architect for Low-Latency GPU Inference

Susquehanna is seeking a GPU Performance Engineer to build highly optimized CUDA kernels for low-latency inference. This role targets workloads where standard runtimes fall short, demanding custom kernels, memory layouts, and execution strategies to gain meaningful performance.

You will partner with quantitative researchers to identify bottlenecks, translate models into efficient GPU implementations, and push end-to-end latency improvements in production systems.