1 open role mentioning ExecuTorch
Deepgram
Deepgram is seeking an Embedded AI Engineer to work on optimizing their speech models for a wide range of hardware, including non-NVIDIA accelerators, embedded SoCs, mobile processors, and specialized devices with tight resource constraints. This role operates at the lowest layer of the edge stack, focusing on writing and optimizing custom kernels and operators, collapsing models onto device-specific execution units, and performing target-side quantization and assembly-level tuning. The engineer will collaborate with Applied ML Engineers to ensure Deepgram's models can run efficiently on new hardware platforms, making them viable for edge deployment. This position is ideal for senior embedded engineers with a passion for AI or staff-level engineers looking to shape the future of on-device AI model deployment.
$219k - $274k