GPU Kernel Performance Engineer: Optimize AI Workloads

Acceler8 Talent in Mountain View, CA is seeking a GPU / Kernel Performance Engineer to optimize performance, power efficiency, and cost for large-scale AI workloads. This onsite role offers deep ownership of kernel development and system-level improvements working with a small, technical team. The candidate will profile workloads, optimize kernels, analyze GPU architectures, and collaborate with ML infrastructure and engineering teams to translate kernel-level gains into end-to-end performance