Meta's AI infrastructure is scaling faster than anything the data center industry has designed for. We need a Mechanical Engineer who can own the next generation of liquid cooling and thermal systems — from first concept through construction — at a scale no one else is building. You will serve as the design authority for novel systems, defining technical approaches where established standards may not yet exist.
This is a small, expert team where your decisions directly shape what gets built. You'll set technical direction across hydronic and thermal systems, mentor engineers around you, and drive programs that deliver megawatts of compute capacity.
Our current focus areas include:
- Technical Roadmap — Charting the path for next-generation mechanical systems and emerging technologies
- Programmatic Designs — Develop future data center designs
- Owner Furnished Equipment — Develop, maintain, optimize and manage risk of critical mechanical equipment.
- Design Localization — Lead the implementation of the programmatic designs for site-specific conditions and support construction administration for self build and leases.
- Experience communicating technical decisions in writing and in presentations to both technical and non-technical audiences (e.g., design reviews, executive briefings, RFI responses)
- Experience leading large-scale mechanical design programs from concept through construction
- 10+ years of experience in mechanical engineering for mission-critical facilities or data centers
- Demonstrated expertise in liquid cooling systems, chiller plant design, and/or hydronic system design
- Bachelor of Science degree in Mechanical Engineering or equivalent practical experience
- Experience with all phases of design delivery (SD, DD, CD, and CA)
- Track record of mentoring engineers and building team capability
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- PE license (Mechanical)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience representing Owners' interests on large capital programs
- Experience with prefabricated/modular construction methodologies (DfSMA)
- Electrical/MEP integration depth — ability to work across disciplines holistically
- Hardware engineering thermal (HWE-Thermal) background — thermal design validation and product reliability
- Experience with operations and deployment handover for data center mechanical systems
- Controls system fluency — understanding of BMS/EPMS integration and mechanical controls logic
- Background in R&D or piloting new mechanical technologies in production environments
- Familiarity with advanced tooling, simulation, or AI-driven design optimization
- Experience in availability and reliability engineering for critical infrastructure
- Experience with acoustics/noise engineering and regulatory compliance for mechanical equipment