DFX Engineer

As a DFX Engineer at Meta, you will be essential in driving manufacturing progress and preparing Reality Labs (RL) products for mass production. You will work closely with teams focused on Virtual Reality, Wearables, and Smart Glasses to address complex manufacturing challenges through early design interventions, development of advanced/repeatable processes, and continuous improvement initiatives. Your efforts will help guarantee that Meta’s innovative devices are scalable, cost-efficient, and meet the highest quality standards.

Responsibilities

Provide technical leadership and coaching on manufacturing best practices
Conduct detailed CAD reviews to identify manufacturing pain points and design alternatives
Develop and qualify manufacturing processes and equipment for final assembly, packaging lines, and optical module automation
Create and approve manufacturing documentation including process flows, SOPs, qualification packages, and fixture/equipment designs
Create Engineering Requirements Specification (ERS) documents and review/approve all proposals from vendors
Drive New Technology Introduction (NTI) initiatives
Support factory operations by troubleshooting assembly line issues, conducting failure analysis, and driving process improvements
Collaborate with internal partners (Mechanical, Electrical, Optical Design, Quality, Operations, CapEx, and TPM teams), external contract manufacturers (CMs) and suppliers/vendors
Travel domestically and internationally as needed

Qualifications

BS in Mechanical Engineering or related field
5+ years of engineering experience in product design, manufacturing, or process engineering
Experience with CAD software (NX Preferred)
Experience in automation and machine design for high precision manufacturing GD&T and tolerance analysis experience
Competency in statistical software such as JMP or MiniTab
Experience working with contract manufacturers and suppliers in Asia Pacific
Ability to work across multidisciplinary teams
Experience in leveraging AI tools to perform routine tasks
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with New Product Introduction (NPI) and manufacturing operations
Cleanroom manufacturing experience
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)