Embedded AI Engineer Device Models & Edge Optimizations
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Embedded Systems/ Firmware/ IoT
Job Description & How to Apply Below
Deepgram is seeking an Embedded AI Engineer to push models to edge devices, writing kernels for embedded CPUs/NPUs and optimizing quantization, memory layouts, and runtimes. You will partner with silicon vendors and Applied ML to land models on constrained hardware while maintaining latency and power targets.
You’ll work near the metal on edge platforms, using C/C++/Rust and vendor tool chains, contributing to low-latency, production-grade voice AI workloads across diverse hardware.
The following position is for a Embedded AI Engineer — On-Device Models & Edge Optimizations with Fdetimes.
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We would love to welcome a new Embedded AI Engineer — On-Device Models & Edge Optimizations to our organisation in United States.
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