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PolarGrid
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PolarGrid is building the future of AI inference11-50 Employees

Jobs at PolarGrid

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Engineering

GPU Infrastructure Deployment Lead

NewPosted 2 weeks ago

GPU Infrastructure Deployment Lead

  • Translate customer workloads and requirements into appropriate GPU cluster configurations.
  • Review and approve server, networking, power, rack, cabling, and storage designs before deployment.
Marketing

Head of Marketing

NewPosted 2 weeks ago

Head of Marketing

  • SEO and content strategy: drive organic traffic from developers, AI builders, and infrastructure buyers
  • PR and communications: land coverage in tech and AI press, manage our narrative as we grow
Engineering

Inference Optimization Engineer

NewPosted 1 month ago

Inference Optimization Engineer

  • Profile and optimize inference pipelines end to end using representative customer workloads, from request handling and scheduling through distributed GPU execution
  • Tune serving frameworks such as vLLM, TensorRT-LLM, and SGLang for specific latency, throughput, and cost targets
Management

Fractional CFO

NewPosted 1 month ago

Fractional CFO

About the Role

PolarGrid is an early-stage AI infrastructure company. We're looking for a Fractional CFO to help us build the financial foundation as we scale, raise, and sign larger commercial deals.

Engineering

Head of Infrastructure Partnerships

NewPosted 1 month ago

Head of Infrastructure Partnerships

About the Role

PolarGrid is building the infrastructure layer for real-time AI inference. We're looking for a Head of Infrastructure Partnerships to own our relationships with OEMs, bare metal providers, and AI marketplaces like OpenRouter.

Management

Head of Sales

NewPosted 1 month ago

Head of Sales

  • ⁠Identify and close partnerships with AI developers, AI model companies, enterprises, and resellers
  • ⁠Own the full sales cycle from first contact to signed contract
Engineering

Site Reliability Engineer

NewPosted 1 month ago

Site Reliability Engineer

  • Experience operating distributed systems across multiple regions or edge locations
  • Strong understanding of networking fundamentals (latency, routing, TCP/UDP behavior, load balancing, anycast vs custom application-layer routing)