
51 - 200 Mitarbeiter
💼 Beratung
🏥 Gesundheitswesen
📦 Logistik
💰 €39.700.000 Venture Round im 2022-11
Consulting • Healthcare • Logistics
Lambda ist ein Cloud-Computing-Unternehmen, das bedarfsgerechte GPU-Instanzen und -Cluster für das Training und die Inferenz von KI bereitstellt. Es bietet eine Vielzahl von GPU-Produkten an, darunter bedarfsgerechte Cloud-GPU-Instanzen, die minutenweise abgerechnet werden, private großskalige GPU-Cluster und PCIe-Server mit anpassbaren NVIDIA Tensor Core GPUs. Lambda ist bekannt für seine AI-Entwickler-Cloud, die es KI-Entwicklern ermöglicht, GPU-Instanzen mit einem Fokus auf die neueste Hardware von NVIDIA zu nutzen. Das Unternehmen bietet zudem Workstation-Produkte an, die mit NVIDIA GPUs für Deep Learning und andere KI-Anwendungen konfiguriert sind.
🕒 vor 1 Monat
🏄 California – Remote
💵 $185.000 - $290.000 / Jahr
⏰ Vollzeit
🟠 Senior
🔴 Experte
👷🏻♀️ Ingenieur
🦅 H1B-Visum-Sponsor
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
💼 Beratung
🏥 Gesundheitswesen
📦 Logistik
💰 €39.700.000 Venture Round im 2022-11
Consulting • Healthcare • Logistics
Lambda ist ein Cloud-Computing-Unternehmen, das bedarfsgerechte GPU-Instanzen und -Cluster für das Training und die Inferenz von KI bereitstellt. Es bietet eine Vielzahl von GPU-Produkten an, darunter bedarfsgerechte Cloud-GPU-Instanzen, die minutenweise abgerechnet werden, private großskalige GPU-Cluster und PCIe-Server mit anpassbaren NVIDIA Tensor Core GPUs. Lambda ist bekannt für seine AI-Entwickler-Cloud, die es KI-Entwicklern ermöglicht, GPU-Instanzen mit einem Fokus auf die neueste Hardware von NVIDIA zu nutzen. Das Unternehmen bietet zudem Workstation-Produkte an, die mit NVIDIA GPUs für Deep Learning und andere KI-Anwendungen konfiguriert sind.
• Architect and manage BMS integration across colocation and Lambda-owned facilities, covering chillers, CRAHs, CDUs (Coolant Distribution Units), cooling towers, UPS systems, PDUs, and automatic transfer switches. • Define standards for BMS point lists, naming conventions, control sequences, and integration protocols (BACnet, Modbus, SNMP, OPC-UA, RESTful APIs). • Oversee commissioning and acceptance testing of new BMS deployments and CDU/TCS loop integrations for next-generation liquid-cooled GPU rack systems. • Collaborate with colocation partners (Equinix, Digital Realty, and others) to ensure telemetry data flows from provider BMS/EPMS into Lambda's monitoring stack. • Own the DCIM platform strategy and roadmap — evaluating, selecting, and implementing tooling for asset management, capacity planning, environmental monitoring, and power chain visibility. • Develop and maintain real-time dashboards for PUE, thermal performance, stranded capacity, and cooling system efficiency across all Lambda sites. • Build and maintain telemetry pipelines ingesting data from BMS, PDUs, in-rack sensors, CDUs, and network devices into centralized monitoring and alerting platforms (e.g., Prometheus, Grafana, InfluxDB, or equivalent). • Define alarm thresholds and escalation workflows for critical facility events including high coolant temperatures, CDU inlet/outlet anomalies, leak detection, and power exceedances. • Develop control strategies and setpoint frameworks for TCS (Thermal Control System) loops supporting direct liquid cooling at densities of 220–380 kW per rack. • Evaluate and qualify CDU vendors on controls integration capabilities, telemetry exposure, and remote management interfaces. • Define and enforce operational procedures for CDU commissioning, setpoint changes, loop pressure management, and fluid quality monitoring. • Support design and construction coordination for liquid cooling infrastructure in new data center buildouts, ensuring BMS and controls readiness at Day 1. • Establish and maintain facility event management processes, including on-call response protocols for facility telemetry anomalies. • Lead root cause analysis for facility system failures and implement corrective actions to prevent recurrence. • Partner with the data center operations team to maintain and refine emergency response runbooks tied to BMS alerts and automated controls. • Drive continuous improvement in MTTR for facility-related events through better telemetry coverage and automated remediation. • Manage BMS integrators, DCIM vendors, and control subcontractors - from RFP through design, installation, commissioning, and ongoing support. • Serve as the primary technical interface with colocation providers on all BMS/EPMS integration topics. • Collaborate with Lambda's infrastructure engineering, construction, and procurement teams to align controls requirements with facility buildout timelines. • Support due diligence and technical evaluation for new colocation sites and modular data center deployments from a telemetry and controls readiness perspective.
• 7+ years of experience in data center infrastructure engineering, with at least 4 years focused on BMS, DCIM, or controls systems in a hyperscale, colocation, or AI/HPC environment. • Hands-on experience designing and integrating BMS for mission-critical facilities including UPS, PDU, CRAH/CRAC, chiller plant, cooling tower, and liquid cooling (CDU/in-row) systems. • Strong working knowledge of industrial control protocols: BACnet IP/MS-TP, Modbus TCP/RTU, SNMP, DNP3, and modern API-based integrations. • Demonstrated experience with DCIM platforms (Nlyte, Sunbird, Vertiv TRELLIS, or equivalent) including deployment, configuration, and ongoing administration. • Experience with real-time telemetry stacks (Prometheus, InfluxDB, Grafana, or similar) applied to infrastructure monitoring use cases. • Strong understanding of data center power and cooling systems, including PUE optimization, thermal management, and redundancy architectures (2N, N+1).
• Opportunity to shape the telemetry and controls architecture for one of the fastest-growing AI infrastructure platforms in the industry. • Work with cutting-edge GPU infrastructure at rack densities at the frontier of what the industry has deployed. • Collaborative environment with experienced infrastructure, construction, and vendor teams across a rapidly scaling global portfolio. • Competitive compensation including salary, equity, and comprehensive benefits. • Flexibility in work location with hybrid/remote options depending on facility portfolio needs.
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