GPU Performance Engineer: CUDA Kernel Optimizer

Two Sigma seeks a GPU programming expert to lead the design of GPU-accelerated kernels for financial workloads. You will optimize culture-changing code, manage precision (FP8/FP4), and profile performance with NVIDIA tools across current and next-gen hardware. You will build reusable GPU libraries and evaluate RAPIDS, CUTLASS, cuBLAS, TensorRT, NCCL, MPI for real-world financial use cases. A strong background in C++/Python and GPU architecture is essential.#J-18808-Ljbffr