Remote Edge AI Performance Engineer (GPU-Accelerated Vision)

A leading innovator in AI solutions is looking for an Edge Performance Engineer to optimize GPU-accelerated computer vision systems. This role focuses on performance lifecycle management, requiring expertise in CUDA, TensorRT, and Python. You'll be solving complex challenges related to hardware acceleration and deployment in resource-constrained environments, contributing to impactful solutions in real-time AI contexts. Enjoy a flexible remote work culture with a mission-driven team, while pushing the boundaries of edge-based AI technologies.

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