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$160,000 – $239,000
Listed on Deepgram’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role oversees the complete infrastructure architecture for a voice AI platform's production and research systems, managing GPU clusters and multi-cloud deployments at massive scale. It suits senior infrastructure engineers with deep experience in Kubernetes, storage systems, and GPU environments who want to make high-impact architectural decisions across real-time inference and large-scale ML training.
Our summary, not Deepgram’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 7+ years infrastructure engineering or systems architecture experience
- Multi-cloud architecture design spanning AWS and another major cloud provider or on-premises
- Deep storage system expertise including block, object, and file storage
- Kubernetes compute orchestration experience
- Hands-on GPU infrastructure experience
- Capacity planning and scaling experience for high-growth environments
- Ability to communicate architectural decisions to technical and non-technical audiences
- Networking fundamentals knowledge as it relates to infrastructure
Nice to have
- ML training workload infrastructure architecture experience
- Cost optimization and FinOps background
- Bare metal infrastructure operations experience
- Network architecture design expertise
- Infrastructure modeling and simulation for capacity planning
- Slurm or Ray job scheduling systems familiarity
- Power, cooling, and physical infrastructure knowledge for GPU deployments