Systems Architect AI/ML Infrastructure

Tech Stack

Responsibilities

• Define and drive the end-to-end infrastructure architecture for Deepgram's AI/ML workloads across production inference and research training.
• Design multi-cloud and hybrid infrastructure strategies that balance performance, reliability, cost, and vendor flexibility.
• Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure.
• Design storage architectures that handle massive datasets for speech and audio ML, from high-throughput training to low-latency model serving.
• Lead capacity planning across all infrastructure dimensions, modeling growth and ensuring Deepgram can scale ahead of demand.

Culture

Requirements