Systems Architect AI/ML Infrastructure

📋 Description

• • As a Systems Architect for AI/ML Infrastructure at Deepgram, you will own the end-to-end infrastructure architecture that powers real-time voice AI at massive scale, serving both production inference and research training workloads across bare metal GPU clusters, multi-cloud deployments, and global edge presence.
• • You will define and drive infrastructure strategy, design compute and storage orchestration systems, lead capacity planning, drive cost optimization through FinOps practices, and architect burstable, elastic training infrastructure that scales with Deepgram's rapidly growing demands while collaborating with engineering leadership to align infrastructure with product roadmap and business objectives.
• • Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text, text-to-speech, and voice agents, with over 200,000 developers and 1,300+ organizations building voice offerings powered by its technology, backed by a recent Series C and over $215M in total funding from investors including Y Combinator, Tiger Global, and NVIDIA.
• • You will operate in an AI-first environment where experimentation, adaptation, and continuous learning are core to success, working at the pace of AI with rapidly evolving day-to-day responsibilities, and have the opportunity to shape the foundational infrastructure that enables Deepgram's industry-leading voice AI capabilities while establishing architectural standards and technical documentation practices.