CMP·0189
Systems Architect AI/ML Infrastructure
Summary
Deepgram is hiring a Systems Architect AI/ML Infrastructure in USA | Remote. The role focuses on compilers & runtimes, databases & storage, networking, virtualization & containers, graphics, gpu & compute, low-latency & performance.
Responsibilities as stated
- You will design the compute, storage, and networking systems that serve both production inference and research training workloads, build multi-cloud strategies that balance performance with cost, and create burstable infrastructure that scales with Deepgram's rapidly growing demands.
- Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure.
- Design storage architectures that handle the massive datasets required for speech and audio ML -- from high-throughput training data pipelines to low-latency model serving.
Location, employment, and compensation
- Location. USA | Remote — remote
- Employment. unknown
- Compensation. Not stated on the source. NearMetal does not estimate compensation.
- How to apply. On the company’s own posting. NearMetal does not accept applications.
Why this is filed as systems software
- You will design the compute, storage, and networking systems that serve both production inference and research training workloads, build multi-cloud strategies that balance performance with cost, and create burstable infrastructure that scales with Deepgram's rapidly growing demands.
- Architect compute orchestration systems that efficiently schedule and manage GPU and CPU workloads across heterogeneous infrastructure.
- Design storage architectures that handle the massive datasets required for speech and audio ML -- from high-throughput training data pipelines to low-latency model serving.
Source and corrections
This summary was written from the company’s own posting. NearMetal does not reproduce the full description and does not accept applications.