Meta is looking for an experienced thermal engineer to oversee thermal architecture alignment and new product introduction (NPI) initiatives across hyperscaler data center environments. The candidate will partner with cross-functional hardware and data center engineering teams to establish thermal management approaches for novel compute architectures, bespoke ASICs, and high-density rack deployments driving Meta's global facilities. Additionally, this position requires liaising with data center operations to verify deployment readiness and furnish comprehensive technical support.

Qualifications:

Bachelor of Science degree in engineering, in thermal, mechanical, or equivalent technical experience is required Minimum of 8 years of experience in development engineering, system validation testing or data center operation of AI/ML computer, networking equipment, and/or hyperscaler data center environments is mandatory Possession of robust communication skills and a demonstrated capacity to influence cross-functional teams is essential Domain knowledge in thermal engineering and/or mechanical engineering with hands-on experience with designing, modeling, and validation of rack-level or data center cooling solutions A proven history of navigating ambiguity and establishing processes for novel technologies, and successfully transitioning them into production, is required Technical aptitude, evidenced by familiarity with ASIC, compute, storage, and network architecture and components, hardware troubleshooting and diagnosis capabilities, and/or hardware manufacturing processes Experience operating within a global environment, including collaboration with remote teams, is required Demonstrated experience with operational validation methodologies and verification activities pertinent to new product integration is expected The ability to cultivate effective cross-functional relationships and influence policies and procedures to enhance the integration of hardware platforms into the data center The capacity to mentor team members in evaluating and identifying improved methods for issue resolution and defining updates to tools and processes is expected Familiarity with the airflow or liquid flow CFDs such as 6Sigma, Icepak or Fluent Expertise in AI/ML product integration and deployment in the data center at scale Proven experience in developing for, or managing, large-scale server installations Experience in utilizing AI-driven tools for workflow development Demonstrated experience with hardware development and/or data center design Master's or PhD in Electrical, Mechanical, Thermal Engineering