Thermal/Mechanical Engineer, NPI Technical Readiness Job at Meta (Fremont)

Job Description

Meta is seeking a Staff Thermal Engineer to lead thermal architecture and new product introduction (NPI) efforts for large-scale data center infrastructure. In this role, you will define thermal strategies for next-generation server platforms, custom silicon, and high-density rack systems that power Meta's global infrastructure. You will drive thermal design from concept through mass production, partnering with silicon, mechanical, electrical, and manufacturing teams to ensure thermal performance, reliability, and manufacturability at scale.

Job Responsibility

Conduct architecture reviews with hardware engineering teams to analyze and develop the most efficient interface and deployment strategy for mass production within the data center environment
Direct product reviews and deliver the technical readiness assessment for deployment alignment, with a specific focus on thermal, mechanical, spatial, and hardware compatibility
Perform airflow and liquid flow demand vs. capacity analysis, identifying the design margin and provide guidance on system control for efficient and reliable operation
Collaborate with cross-functional teams to define the requirements and deliver the necessary NUDD equipment to support the deployment
Partner with cross-functional teams and development partners to deliver harmonized new hardware platform roadmaps and secure an agreement on implementation milestones
Liaise with cross-functional partners in Meta’s Data Center Operations team to ascertain infrastructure deployment and operational requirements
Work with ODM/OEM vendors as necessary to define product specifications, development plans, and the integration strategy within the data center
Capture lessons learned from production issues and create corresponding test cases to address these issues in subsequent hardware platforms
Domestic and/or international travel, up to 25%, is required

Requirements

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 the 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 strong 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 superior methods for issue resolution and defining updates to tools and processes is expected

Nice to have

Demonstrated experience with hardware development and/or data center design
Master’s or PhD in Electrical, Mechanical, Thermal Engineering
Proven experience in developing for, or managing, large-scale server installations
Experience in utilizing AI-driven tools for workflow development
Expertise in AI/ML product integration and deployment in the data center at scale
Familiarity with the airflow or liquid flow CFDs such as 6Sigma, Icepak or Fluent

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Thermal/Mechanical Engineer, NPI Technical Readiness

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