Systems Architect AI/ML Infrastructure
Core
Design end-to-end infrastructure architecture for Deepgram's AI/ML workloads, including compute, storage, and networking for production inference and research training.
Role type
Senior Systems Architect (AI/ML Infrastructure)
Builds
Multi-cloud and hybrid infrastructure strategies, compute orchestration systems, storage architectures, and burstable training environments.
Domain
Cloud Infrastructure / AI/ML Systems
Deliverable
infrastructure
Required skills
Multi-cloud architecture design, GPU infrastructure management, Kubernetes compute orchestration, storage system design, capacity planning, FinOps, networking fundamentals, technical documentation.
Preferred skills
ML training workload architecture, bare metal infrastructure management, HPC/ML job scheduling (Slurm/Ray), infrastructure modeling, power/cooling considerations.
Technologies
Kubernetes, AWS, GPU clusters, Slurm, Ray
Responsibilities
Define end-to-end infrastructure architecture, design multi-cloud strategies, architect compute orchestration systems, design storage architectures, lead capacity planning, drive cost optimization, design burstable training infrastructure, establish architectural standards, collaborate with engineering leadership, evaluate emerging technologies.
Seniority
Senior, hands-on IC with strategic scope
