Embedded Ai Engineer, On-device Models
Deepgram- Location
- Remote
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Deepgram. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
This is a mid-level Embedded AI Engineer role focused on on-device models. The engineer will work on optimizing and deploying Deepgram's speech models to various hardware accelerators, including non-NVIDIA GPUs, embedded SoCs, mobile application processors, DSPs, and NPUs, with constraints on memory, compute, thermal, and power.
Skills and focus areas
- embedded systems
- ai
- machine learning
- optimization
- performance tuning
- hardware accelerators
- dsp
- npu
- soc
- mobile application processors
- memory constraints
- compute constraints
Summary written by Ramai from the original posting. Full details and requirements are on Deepgram’s careers page.
[ More at Deepgram ]
Building foundational AI for speech transcription and understanding.
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