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Meta

New Product Integration (NPI) Hardware Discipline Lead

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What they do

A Hardware Engineer designs and develops computer hardware such as circuit boards, chips, modems, and keyboards. Works with computer software engineers and developers to improve technology.

$111,667 / year median in Missouri

-5% projected decline

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Job Description

New Product Integration (NPI) Hardware Discipline Lead Meta - 4.0 Kansas City, MO Job Details $143,000 - $198,000 a year 6 hours ago Qualifications Quality control corrective actions Incident investigation techniques for hazard identification New product introduction engineering projects Data center experience Defect resolution root cause analysis Technical documentation Defect analysis System architecture Process design Change management Quality assurance standard operating procedures Hardware support Document quality checks Problem management Operational excellence initiatives Technical writing quality assurance Process improvement planning Technical writing experience within technology Cross-functional collaboration Cross-functional communication Server hardware support Failure analysis Full Job Description Meta is seeking a New Product Integration (NPI) Hardware Discipline Lead to join our Data Center Operations (DC Ops) Centralized Operational Strategy (COS) team. As Meta scales its data center footprint to 8+ GW and 60+ regions by 2028, the COS team serves as the central enablement function ensuring operational readiness, process integration, and strategic alignment. The NPI Hardware Discipline Lead will support data center facility infrastructure platforms — spanning mechanical cooling, power distribution, and other AI accelerator systems-and focus on operational excellence, procedure management, training, and development, ensuring that standards and procedures are safe, high-quality, clear, and executable in the field. New Product Integration (NPI)
Hardware Discipline Lead Responsibilities:
Responsibilities Serve as the operational authority for facility infrastructure NPI hardware platforms, providing deep operational and technical support for launch enablement and complex troubleshooting Act as the primary interface with engineering teams to ensure alignment between hardware design and data center operational capabilities Support the NPI acceleration of 12-15 new platforms per year, driving discipline-specific operational readiness validation and system integration requirements Investigate and develop deep technical proficiency with new AI accelerator platforms and the integration of new cooling technologies to proactively develop operational excellence strategies Review and validate AI-generated operational procedures and standards, focusing on safety, quality, document clarity, and the ability to be executed in the field Receive, manage, address, adjudicate, and handle field team feedback regarding hardware operational documents, ensuring continuous improvement and alignment with field realities Participate in and lead root cause analysis (RCA) events for field teams related to hardware incidents, driving organizational corrective actions and sharing lessons learned Partner with the Standards Program Manager and other Discipline Leads to ensure that tiered reviews of operational documents are based on safety and operational criticality Support the development and maintenance of the global standards library, ensuring hardware procedures are accurate, discoverable, and
AI-ready Minimum Qualifications:
8+ years of experience in data center operations, hardware engineering, or a related technical role with a specific focus on server hardware architecture and NPI Demonstrated experience in operational excellence, procedure management, ownership, and development within a mission-critical environment Proven ability to review, validate, and improve complex technical documentation, ensuring safety, quality, and field executability Demonstrated expert-level experience with RCA of operational incidents, with the ability to communicate learnings and drive organizational corrective actions Experience evaluating, defining, and improving end-to-end processes with the ability to prioritize and drive change across multiple areas Experience communicating technical decisions to cross-functional teams, interfacing with external engineering organizations, and incorporating field team feedback into operational improvements
Preferred Qualifications:
Experience with rack-level liquid cooling technologies Bachelor's degree in Computer Engineering, Electrical Engineering, or a related technical discipline Experience with advanced AI hardware platforms and high-density rack architectures Experience integrating AI tools or automation into documentation workflows
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . $143,000/year to $198,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.