Senior Kernel Engineer (GPU/Accelerator Performance Optimization)
Design and optimize high-performance GPU kernels for NeuroSpark’s AI inference platform, improving latency, throughput, and memory efficiency. Work at the intersection of model architecture, GPU execution, and distributed systems to push performance boundaries across emerging hardware. Hands-on role with full technical ownership and cross-team collaboration.
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Job Description
NeuroSpark Inc operates an enterprise AI inference platform providing high-throughput, low-latency access to large language models across a distributed, heterogeneous compute fleet.
As a Member of Technical Staff, Kernel Engineer, you will work at the lowest performance-critical layers of NeuroSpark's inference stack, designing and optimizing GPU and accelerator kernels that directly determine model latency, throughput, memory efficiency, and hardware utilization.
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