Device AI Engineer: Edge Model Optimization
Listed on 2026-10-10
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Engineering
AI Engineer (Applied/Software)
Deepgram’s embedded AI engineer role focuses on getting speech models running on on-device, low-power hardware across phones, wearables, and edge devices, with real-time, offline-capable capabilities.
You’ll optimize for latency, memory, power, and thermal budgets using quantization, pruning, distillation, and compilation, while collaborating with hardware and research teams to push edge-friendly architectures.
The following position is for a On-Device AI Engineer:
Edge Model Optimization with Deepgram.
Consider building your career as a On-Device AI Engineer:
Edge Model Optimization at Deepgram.
The On-Device AI Engineer:
Edge Model Optimization position in the Engineering field is open for applications.
We have an opening for a On-Device AI Engineer:
Edge Model Optimization in United States within Engineering.
This role, On-Device AI Engineer:
Edge Model Optimization at Deepgram, could be your next opportunity.
Are you ready to take on the On-Device AI Engineer:
Edge Model Optimization role at Deepgram?
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