Top Tech Jobs & Startup Jobs in Seattle, WA

Reposted 7 Days AgoSaved
In-Office
Seattle, WA, USA
208K-269K Annually
Mid level
208K-269K Annually
Mid level
Artificial Intelligence • Software
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.
Top Skills: Agentic FrameworksBmcCadenceClaude CodeCursorGoGrafanaIpmiKubernetesLlm ApisMcp ServersPrometheusPythonRedfishTemporal
Reposted 7 Days AgoSaved
In-Office
Seattle, WA, USA
133K-158K Annually
Mid level
133K-158K Annually
Mid level
Artificial Intelligence • Software
The Workplace Lead ensures a positive office experience at Fluidstack by managing the day-to-day operations, vendor relationships, and employee feedback, focusing on creating a hospitable environment.
Reposted 8 Days AgoSaved
In-Office
Seattle, WA, USA
245K-300K Annually
Mid level
245K-300K Annually
Mid level
Artificial Intelligence • Software
Lead product direction for ontology and data products that model and support compute production. Translate messy operational domains into data models, specs, and product surfaces; drive technical tradeoffs and ship end-to-end; run stakeholder discovery and validate impact; define and track success metrics to optimize product outcomes.
Reposted 9 Days AgoSaved
In-Office or Remote
Seattle, WA, USA
199K-262K Annually
Senior level
199K-262K Annually
Senior level
Artificial Intelligence • Software
Own the steel category for structural and fabricated assemblies: source regional fabrication capacity, qualify fabricators for quality and throughput, negotiate raw material and fabrication pricing resilient to commodity swings, balance weekly loads across shops, and manage commodity exposure through indexing or hedging.
Reposted 9 Days AgoSaved
In-Office
Seattle, WA, USA
208K-263K Annually
Mid level
208K-263K Annually
Mid level
Artificial Intelligence • Software
Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.
Top Skills: ControlsDfmEnd EffectorsGd&TGripper DesignMechatronicsRack HardwareRoboticsServer Hardware
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Reposted 9 Days AgoSaved
In-Office or Remote
Seattle, WA, USA
215K-261K Annually
Senior level
215K-261K Annually
Senior level
Artificial Intelligence • Software
Serve as Fluidstack's public face at town halls, hearings, and community events; build and maintain relationships with officials, utilities, nonprofits, and stakeholders; identify and mitigate political and reputational risk; deploy community benefit programs and local hiring/education partnerships; manage external lobbyists, consultants, and PR agencies across concurrent site campaigns.
Reposted 9 Days AgoSaved
In-Office
Seattle, WA, USA
155K-183K Annually
Mid level
155K-183K Annually
Mid level
Artificial Intelligence • Software
Manage deployment projects for controls and sensor systems across multiple data center sites: scope, schedule, vendors, installations, integration with construction and commissioning, vendor relationships, and punch-list closure to completion.
Top Skills: BmsControl HardwareEpmsMetersNetwork DrawingsSensors
Reposted 9 Days AgoSaved
In-Office
Seattle, WA, USA
224K-264K Annually
Mid level
224K-264K Annually
Mid level
Artificial Intelligence • Software
Build and maintain demand and lead-time forecasts across critical equipment categories, track supplier capacity and delivery risk, model cost/timing trade-offs for large equipment commitments, reconcile supplier/shipment/inventory data into actionable weekly signals, and create forecasting tooling and dashboards to surface disruption ahead of schedule.
Reposted 9 Days AgoSaved
In-Office
Seattle, WA, USA
164K-264K Annually
Mid level
164K-264K Annually
Mid level
Artificial Intelligence • Software
Engineer a virtualized PLC platform: port and validate control applications to software runtimes while preserving determinism and safety; build test harnesses to prove virtual controls against hardware behavior; define reference architecture for networking, redundancy, and failover; document control narratives for engineers and operators.
Top Skills: BmsCodesysEpmsFunctional SafetyHypervisorsIec 61131PlcReal-Time LinuxSoftware PlcsVirtualization
Reposted 9 Days AgoSaved
In-Office
Seattle, WA, USA
199K-232K Annually
Mid level
199K-232K Annually
Mid level
Artificial Intelligence • Software
Own supplier integration into production: onboarding, data connections, launch readiness, performance management, scorecards, escalations, and recovery plans. Ensure forecasts, releases, and ASNs flow into ERP/MRP without spreadsheets and coordinate cross-functional supplier launches.
Top Skills: ApqpAsnErpMrpMulti-Tier Visibility ToolsPpap
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