Electrical Engineer, Data Center - Design Engineering and Construction - Ops Eng
at Meta
Location
Reston, VA; Menlo Park, CA
Compensation
$170k–$234k USD
Type
full time
Posted
3 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=162
Posted $234k · in the market band
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Job description
Meta is seeking an Electrical Engineer to join our Design Engineering and Construction Operations Engineering team. Our data centers are the foundation upon which our rapidly growing infrastructure efficiently operates and our innovative services are delivered. The Operations Engineering team delivers proactive and responsive full-life-cycle engineering expertise to the teams who operate and support our expanding global fleet of data centers. Electrical 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 electrical 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 electrical 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 the electrical system's utilization
- Develop effective measurements and reports from the 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 electrical designs, commissioning plans, and critical operational procedures
- Review electrical "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, electrical systems audits, startup testing, and full commissioning
Minimum Qualifications
- 4+ years professional experience in data center engineering, mission critical design, construction, operations, maintenance or related industry
- B.S. degree in Electrical Engineering, or a 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 by prioritizing competing demands based on impact, deadlines, and stakeholder needs
- 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)
- Professional Engineer (PE) registration or local equivalent
- Cross-discipline knowledge of multiple critical facility systems
- Experience in mission critical facility design, construction, operations, and maintenance
- Organizational skills and experience in activities such as project management, project engineering, and operations management
- 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
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