Top Tech Jobs & Startup Jobs in Seattle, WA

Build Fluidstack's AI-integrated software stack end-to-end: supply chain automation, capacity forecasting, internal AI tooling and agent frameworks, operational automation, and datacenter design/validation. Ship features from concept to production with high ownership and measurable outcomes.

Build and operate the observability platform, data pipelines, and production control plane for a hyperscale GPU fleet. Define infrastructure API surfaces, ensure fleet state is source of truth, integrate new hardware (ZTP/DHCP/DNS), and maintain Kubernetes-based infrastructure and SLOs. Own incidents, postmortems, and system reliability.

Build and operate large-scale GPU compute fleet tooling: metrics pipelines, alerting, Redfish/BMC telemetry, repair/RMA automation, GPU qualification, and orchestration for Kubernetes and bare-metal deployments. Own reliability, scalability, incident response, and automation to minimize manual toil.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

Build and operate GPU fleet infrastructure: metrics, alerting, Redfish/BMC tooling, repair and qualification pipelines, automation for failure detection through RMA, and ensure reliability, scalability, and observability for Kubernetes-orchestrated and bare-metal GPU deployments.

Design and own core backend primitives (entities, audit, auth, orchestration), model domain entities for power/datacenters/chips, ingest vendor formats (KMZ, BIM, Revit), build durable workflow/orchestration systems, and enable AI agents to operate systems safely with guardrails and audit trails.

Build and own full-stack AI-integrated infrastructure: supply chain automation, capacity forecasting and scheduling, internal AI tooling and agents, operational automation, and datacenter design/validation applications from concept to production.

Build and operate the observability platform, data pipelines, and production control plane for a hyperscale AI compute fleet. Design and maintain infrastructure APIs, ensure fleet state is source of truth, integrate new hardware generations, and run on-call incident response and postmortems.

The AI Software Engineer will develop AI applications, maintain AI infrastructure, integrate AI into products, and work with various teams to enhance productivity using AI tools.

The role involves developing internal tooling for infrastructure management, building systems for asset lifecycle, automation, monitoring, and collaborating cross-functionally to improve operations.