Senior Systems Engineer – AI/ML Infrastructure
Overview
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing.
Job Description
Deepgram is a voice AI platform that provides speech-to-text, text-to-speech, and speech-to-speech solutions. The company has over 400 enterprise customers and has processed over 50,000 years of audio.
Responsibilities
- - Build and maintain bare-metal GPU compute clusters for AI training and inference workloads
- - Implement monitoring, alerting, and automation solutions for infrastructure management
- - Manage large-scale deployments using modern orchestration platforms like Kubernetes and Slurm
- - Design and implement reliable, high-performance network architectures for distributed systems
- - Architect and maintain large-scale storage solutions, including backup systems, distributed caching, and object storage
Required Skills
- - 5+ years of experience in infrastructure engineering or similar roles
- - Strong background in network engineering and design for reliability
- - Experience with large-scale storage systems (distributed file systems, caching solutions)
- - Proven track record of managing bare-metal infrastructure
- - Expertise in container orchestration platforms (Kubernetes, Slurm)
- - Experience with GPU infrastructure management and optimization
- - Strong automation and scripting skills
Benefits
- - Offers Equity
- - Offers Bonus
About the company
Deepgram’s voice AI platform provides APIs for speech-to-text, text-to-speech, and full speech-to-speech voice agents. Over 200,000+ developers use Deepgram to build voice AI products and features. Our suite of voice AI tools is designed to transform how you interact with voice data, offering powerful APIs and models to unlock deeper insights and build seamless voice experiences.
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