06 nov
|
TuxCare
|
Quilmes
Tether is seeking an AI Research Engineer to advance kernel and inference optimization for edge and cloud deployments. You will optimize model serving pipelines, design low-latency GPU kernels, and push the boundaries of on-device AI.
The role covers resource-constrained devices, multi-modal models, and scalable architectures, with collaboration across teams. A PhD is preferred; strong C++/CUDA and MSL experience is expected.
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📌 Remote AI Inference Kernel Engineer — Edge & Low-Latency (Quilmes)
🏢 TuxCare
📍 Quilmes