Design Engineering and Construction Operations Engineering, Controls Engineer

Controls Engineers are involved in all aspects of data center operations, essential to ensuring effective performance, sequenced system operations, monitoring feedback and analysis. They provide direct support to our field teams for new construction, site specific projects and global level programmatic efforts.

The establishment of new regions in the US, Europe, and Asia are important next steps in the evolution of Meta's infrastructure expansion.

Responsibilities

Lead technically complex [Discipline] engineering projects for the facilities infrastructure operations team. This includes working cross functionally with other technical organizations including design teams, construction, field operations, vendors and R&D Engineering point of escalation for Controls system issues that occur in our data centers Troubleshoot and engineer enhancements and corrective actions for designs and implementation processes/methods Conduct detailed analyses and audits of Controls system utilization Develop effective measurements and reports from Building Management System (BMS) and other monitoring systems to optimize performance and reliability Evaluate systems to perform effective and efficient load management and capacity planning. Monitor, trend, and develop engineering metrics and statistical data for strategic planning Review new and retrofit Controls designs, commissioning plans, and critical operational procedures Review Controls "as-built" technical documentation and verify accuracy. Investigate actual site conditions and update records Develop and generate specifications, RFPs, ROMs and SOWs for projects Evaluate facility processes and industry best practices to drive efficiencies and effectiveness Routinely report and present to peers, partners and leadership Up to 30% travel to data center and vendor sites for engineering studies, on-site technical support, [Discipline] systems audits, startup testing, and full commissioning

Qualifications

4+ years professional experience in data center engineering, mission critical design, construction, operations, maintenance or related industry 10+ years of professional controls engineering work experience; In lieu of specific work experience within the discipline, either a BS degree in Controls Engineering (or related field) or an Associates degree in Engineering (or related Technical School certification) plus 6+ years of work experience within the discipline will be considered BS degree in Controls Engineering, or related field Ability to research, diagnose, troubleshoot and identify solutions to resolve system issues within discipline Experience clearly communicating technical issues Possess presentation, project management, and reporting skills Experience with computer based mathematical analysis and data analysis Experience driving complex projects under pressure Ability to work independently and as a member of a cross functional team Knowledge of industry standards, building codes and safety standards applicable to the region where the position will be based Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in mission critical facility design, construction, operations, and maintenance Experience leading or coordinating activities such as project management, project engineering, and operations management Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Cross-discipline knowledge of multiple critical facility systems Professional Engineer (PE) registration or local equivalent Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)