Tech Stack
Responsibilities
- Lead the technical strategy for edge deployment of Deepgram's STT and TTS models, defining the architecture for on-device, on-premises, and air-gapped inference across diverse hardware targets.
- Optimize models for edge and embedded platforms, driving quantization, pruning, distillation, and runtime optimization to meet strict latency, memory, and power constraints.
- Partner with Qualcomm, Motorola, and other hardware vendors to ensure Deepgram models run efficiently on their chipsets, collaborating on SDK integration, performance benchmarking, and joint go-to-market.
- Support defense customer requirements through AWS NatSec partnerships, translating mission requirements into engineering deliverables and ensuring Deepgram's solutions meet the unique demands of government environments.
- Design and build edge runtime infrastructure, including model packaging, deployment pipelines, OTA update mechanisms, and telemetry for devices operating in low-connectivity or disconnected environments.
Culture
AI-FirstFast-PacedExperimentationAdaptabilityContinuous LearningCustomer-ObsessedCollaborationMission-DrivenResults-OnlyInclusive Hiring
Requirements
Regions: Us, Worldwide
Get jobs like this in your inbox
Weekly AWS, Next.js, Rust hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Deepgram
Industry: ai
Size: small
Deepgram is the leading Voice AI platform providing real-time APIs for speech-to-text, text-to-speech, and building production-grade voice agents, trusted by over 200,000 developers and 1,300+ organizations. The company's voice-native foundation models offer unmatched accuracy, low latency, and cost efficiency, having processed over 50,000 years of audio.
View company profile →Compensation
Equity: Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding.
Similar Jobs
Systems Architect AI/ML Infrastructure
Deepgram · USA | Remote
Remote
Research Staff, Voice AI Foundations
Deepgram · USA | Remote
Remote
Model Evaluation QA Lead
Deepgram · USA | Remote
Remote
Inference Technical Lead, On-Device Transformers
OpenAI · San Francisco
Technical Lead, Machine Learning
bjakcareer · United States