# Systems Architect AI/ML Infrastructure

Hiring organization: [Deepgram](https://career.thegoodapps.co/organizations/deepgram)

Canonical page: https://career.thegoodapps.co/jobs/7594ea88-6d49-4665-bfaf-6253ef1404f5

Listed on Deepgram's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: USA | Remote
- Remote: yes
- Salary: 160000 – 239000 USD per year

## Summary

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._

## Skills named

Amazon Web Services (AWS), Capacity Planning, FinOps, Kubernetes, V-Ray

## 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

Apply on Deepgram's site: https://jobs.ashbyhq.com/Deepgram/ff392127-1eb6-4fc7-838e-a3243923ba76/application