Remotely
sqlcapacity planninglookergrafanagpunetboxdctrackserverless inference
Job Description
📋 Description
- Analyze usage statistics across serverless inference models and spot demand to identify
- Make and implement recommendations on GPU server allocation across models to maximize revenue and
- Build tools and processes to automate and streamline model-to-server assignment decisions, reducing
- Maintain a deep, current understanding of the GPU hardware market — new models, availability
- Track rack and power capacity for GPU infrastructure across global data centers
- Partner with DCOPS, Network Engineering, Product, and Delivery teams to plan and execute physical
🎯 Requirements
- 5+ years of experience in capacity planning, infrastructure operations, or a related
- Strong understanding of the current GPU hardware market — models, vendors, availability, and
- Familiarity with serverless inference workloads and spot capacity dynamics
- Experience analyzing usage and demand data to drive resource allocation or optimization decisions
- Strong foundation with SQL and data visualization tools (e.g. Looker, Grafana) to build reporting
- Experience with, and strong interest in building, automation/tooling/AI agents to reduce manual
🎁 Benefits
- We innovate with purpose
- We prioritize career development
- We care about your well-being
- We reward our employees
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