Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Location: Multiple Sites — US (Remote/Hybrid eligible)
Role Overview
The Data Center Facility Telemetry & Controls Management Engineer is a critical technical role responsible for the design, deployment, integration, and ongoing operation of Building Management Systems (BMS), Data Center Infrastructure Management (DCIM) platforms, and facility telemetry pipelines across Lambda's growing data center portfolio. This engineer ensures that all facility systems — power, cooling, thermal, and environmental — are continuously monitored, alarmed, and controllable in real time, supporting the safe and efficient operation of high-density GPU deployments at rack densities of 136–380 kW per rack.
What You’ll Do
BMS / Controls Architecture & Integration
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.
DCIM & Telemetry Platform Management
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.
Liquid Cooling Controls & High-Density Operations
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.
Operational Reliability & Incident Response
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.
Vendor & Stakeholder Management
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
You
Required Experience
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).
Preferred Qualifications
Direct experience with direct liquid cooling (DLC) systems, CDU controls integration, and TCS loop management for high-density AI GPU deployments (100+ kW per rack).
Familiarity with OCP (Open Compute Project) hardware and telemetry standards.
Experience working with major colocation providers (Equinix, Digital Realty, CyrusOne, etc.) on BMS/EPMS integration and data sharing agreements.
Exposure to modular or edge data center deployments and associated controls considerations.
Background in scripting and automation (Python, Ansible, Terraform) applied to infrastructure management workflows.
Experience operating data centers at international scale, including Asia-Pacific or Southeast Asian markets.
Relevant certifications: CDCP, CDCE, ETA Data Center Specialist, or vendor-specific BMS/controls certifications.
What We Offer:
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.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.