Embedded AI Engineer, On-Device Models

What this role involves

Deepgram is hiring an Embedded AI Engineer to optimize and deploy speech models on resource-constrained devices. The role involves writing performance-critical code in C/C++/Rust, applying model compression techniques, and working with embedded platforms. The ideal candidate has experience with embedded systems and model optimization.

Skills this posting asks for

• c
• c++
• rust
• quantization
• pruning
• distillation
• operator fusion
• embedded socs
• microcontrollers
• ai accelerators
• real-time operating systems
• freertos
• model optimization
• on-device inference
• performance-critical code
• speech-to-text
• text-to-speech
• deep learning
• compiler optimization
• mobile application processors

Requirements

• Level: senior

From the employer’s posting

COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build vo…