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Software Engineer, Cloud

Ollama

Palo Alto, CAJobPosted 3mo agoStill listed today

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At a glance

Compensation
No compensation found
Location
Palo Alto, CA
Work Authorization
Not specified

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Job overview

Ollama seeks a software engineer to build and scale its cloud inference platform, focusing on high‑throughput, low‑latency distributed systems, GPU fleet management, routing, metering, and multi‑tenant infrastructure for Pro, Max, Team, and Enterprise customers.

Skills & qualifications

RequiredNice to have

Skills

Data EngineeringInfrastructureOpen Source SoftwareLow LatencyKubernetesGPUDistributed SystemsSchedulingArtificial IntelligenceServiceScalable Inference PlatformRouting and Capacity LayerMulti-Tenant InfrastructureReliabilityObservabilityCost Controls

Qualifications

Deep Experience With High-Throughput Low-Latency Distributed SystemsOwned Production Service End-to-EndKubernetes or GPU Scheduling or Inference Infrastructure ExperienceReliability SLOs and Capacity Planning ExperienceInference Platform GPU Fleet Management Billing Metering Experience

Full job description

Ollama is the most popular way for developers to access open models. What started as an open-source, local-first runtime is now the largest developer network in the open-model ecosystem: 8.9 million monthly active developers and over 67,000+ community-built integrations. We're backed by Y Combinator, Benchmark, 8VC, and Theory Ventures. Our team is small and talent dense. We're flat, low-ego, and fast-moving. We like people who are truth-seeking, passionate, design-driven, and who enjoy shipping code.

About the role You'll build Ollama’s cloud, a scalable inference platform that lets developers run large, capable open models in their workflow. You'll work on high-throughput, low-latency distributed systems — inference serving, GPU fleet management, routing, metering, and the platform that Pro, Max, Team, and Enterprise customers rely on to process trillions of tokens.

What you'll do

  • Build and scale the inference platform that serves every request from ollama.com.

  • Design the routing and capacity layer that places workloads across GPUs and regions for cost, latency, and availability.

  • Own multi-tenant infrastructure: isolation, quotas, usage metering, billing, and Pro/Max/team/enterprise tiering.

  • Build the reliability, observability, and cost controls for our team and customers

You may be a fit if

  • You have deep experience with high-throughput, low-latency distributed systems — inference serving, traffic routing, real-time data pipelines, or large-scale APIs.

  • You're comfortable with cost/performance tradeoffs at scale and have owned a production service end-to-end.

  • You've worked with Kubernetes, GPU scheduling, or inference infrastructure.

  • You think in terms of reliability, SLOs, and honest capacity planning.

  • Bonus: experience building an inference platform, GPU fleet management, or billing/metering for an AI service.

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