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© All Rights Reserved. ApplyBlast.com
Deepgram
As an Embedded AI Engineer at Deepgram, you will optimize and deploy speech AI models onto resource-constrained consumer hardware like phones and wearables. The role involves writing performance-critical code in C, C++, or Rust, integrating with edge inference runtimes, and collaborating with research teams to define efficient on-device architectures. You will work across the stack to ensure models meet strict latency, memory, and power budgets while enabling real-time, offline-capable voice experiences.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2015
Deepgram is an enterprise-grade voice AI platform offering real-time, high-accuracy Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Built for scale, it powers large workloads in contact centers, media, and analytics with low-latency transcription and generation capabilities. Developers can integrate quickly via robust APIs and SDKs, with customizable models and vocabularies tailored to industry needs. Deepgram emphasizes enterprise reliability, privacy, and deployment flexibility for mission-critical voice solutions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Deepgram.
60% above the average for this role