
Job Overview
Location
USA | Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
April 22, 2026
Full Job Description
đź“‹ Description
- • As the Defense / Edge Tech Lead at Deepgram, you will own the technical direction for deploying speech AI models to edge and embedded environments, enabling real-time, low-latency inference on constrained hardware for defense and government customers.
- • You will lead model optimization efforts including quantization, pruning, and distillation; partner with hardware vendors like Qualcomm and Motorola; design secure edge runtime infrastructure; and collaborate with research teams to shape edge-friendly model architectures.
- • Deepgram is a leader in the Voice AI economy, powering over 200,000 developers and 1,300+ organizations with production-grade speech-to-text, text-to-speech, and voice agent APIs, backed by $215M in funding and processing over 50,000 years of audio.
- • You will gain deep expertise at the intersection of AI and hardware, influence strategic partnerships in defense and edge computing, and ship impactful systems that operate in disconnected, power-constrained, and security-sensitive environments.
Skills & Technologies
About Deepgram Inc.
Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.
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