Deepgram

Deepgram

Visit websiteLinkedIn201-500 employeesH1B sponsor

Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.

Open Positions at Deepgram

16 open positions

San Francisco, CA, USAEntry Level / Mid Level
$174k - $212k/yr

Build and ship production voice-agent features for real-world customer applications such as drive-thru and phone ordering. This customer-facing Applied AI role combines backend engineering, AI agent development, model adaptation, and rapid zero-to-one delivery.

Remote, United StatesMid Level / Senior
$150k - $245k/yr

Deepgram is seeking a hands-on Security Engineer to build and automate security controls across a large bare-metal Linux fleet, AWS infrastructure, containers, and CI/CD systems. The role owns vulnerability management, penetration testing, detection and response, supply-chain security, and repeatable audit evidence for a fast-moving AI platform.

AnsibleAWSDockerGitHub ActionsGoKubernetes+3 more
1 month ago
Remote, United StatesSenior / Staff+
$155k - $245k/yr

Deepgram is seeking an Applied ML Engineer to port speech models onto non-NVIDIA accelerators, edge servers, and embedded platforms. You will adapt model graphs, optimize quantization and precision, validate performance on real hardware, and build repeatable deployment pipelines across diverse platforms.

2 months ago
San Francisco, CA, USA or New York, NY, USASenior
$197k - $246k/yr

Senior Forward Deployed Engineer responsible for embedding with enterprise restaurant customers to integrate, deploy, and optimize Deepgram’s voice AI platform. The role combines hands-on software engineering, customer partnership, production troubleshooting, and deployment infrastructure leadership.

2 months ago
Remote, United States or San Francisco, CA, USASenior / Staff+
$150k - $250k/yr

Build the research infrastructure that enables Deepgram’s speech-to-text and text-to-speech foundation models, from large-scale data pipelines and distributed training through evaluation and productionization. This individual contributor role partners closely with research scientists to turn experimental ideas into scalable systems.

3 months ago
San Francisco, CA, USA or New York, NY, USAEntry Level
$155k - $193k/yr

Build and deploy production voice AI solutions for strategic enterprise customers, embedding directly with their technical teams. This customer-facing engineering role combines integrations, backend systems, tooling, prompt engineering, and production optimization.

Remote, United StatesStaff+
$150k - $190k/yr

Deepgram is hiring a Staff Web Engineer to own and modernize deepgram.com, its marketing, self-serve revenue, and brand platform. The role combines full-stack web development, CMS architecture, QA, localization, experimentation, SEO, and AI-native publishing workflows.

CSSNext.jsReactVercel
3 months ago
Remote, United StatesSenior
$150k - $220k/yr

Deepgram is hiring a Senior Backend Engineer for its Engine Team to build and optimize secure, scalable services powering real-time speech and voice AI products. The role focuses on inference services, distributed compute, scheduling, networking, and high-performance systems.

4 months ago
Remote, United StatesMid Level
$150k - $220k/yr

Deepgram is seeking a Backend Engineer to improve scalable inference services for real-time speech processing, focusing on distributed compute, scheduling, performance, and latency optimization. The role combines backend systems engineering with customer-driven product development in a rapidly evolving AI environment.

4 months ago
Remote, United StatesSenior / Staff+
$219k - $274k/yr

Build and optimize the low-level kernels, operators, and runtime components that bring Deepgram speech AI models to non-NVIDIA accelerators, embedded SoCs, DSPs, NPUs, and other constrained devices. This senior-to-staff role combines embedded systems, hardware-specific optimization, and on-device ML deployment.

4 months ago

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