AI Transformation Lead, Hardware Engineering

About the Role

Meta is seeking a principal-level AI Transformation Lead to define and drive the integration of artificial intelligence across hardware engineering programs within Reality Labs. In this role, you will establish the strategic vision for how AI-powered tools, workflows, and methodologies can fundamentally reshape how hardware systems are designed, validated, and brought to mass production for wearable devices, AR/VR headsets, and next-generation consumer electronics. You will operate at the intersection of hardware systems engineering and applied AI, partnering with engineering, research, and product leadership to identify high-leverage transformation opportunities and translate them into durable, scalable programs that accelerate hardware development cycles and improve engineering outcomes across the organization.

AI Transformation Lead, Hardware Engineering Responsibilities:

• Define and own the multi-year AI transformation roadmap for hardware engineering, identifying opportunities to embed AI-driven tools and methodologies across design, simulation, verification, and manufacturing workflows
• Lead cross-functional programs that deploy machine learning and generative AI capabilities into hardware engineering workflows, including design space exploration, failure mode analysis, and predictive validation
• Establish frameworks for evaluating and prioritizing AI transformation initiatives based on engineering impact, feasibility, and alignment with hardware product roadmaps for wearables and AR/VR devices
• Collaborate with research and applied AI teams to translate state-of-the-art AI capabilities into practical hardware engineering applications, bridging the gap between research prototypes and production-ready tooling
• Communicate AI transformation strategy, progress, and trade-offs to hardware engineering leadership and executive stakeholders through structured written and verbal briefings
• Define success metrics and evaluation criteria for AI-augmented hardware engineering programs, and drive accountability across partner teams to deliver measurable improvements
• Identify organizational capability gaps and develop enablement strategies to build AI fluency across hardware engineering teams, including tooling adoption, workflow integration, and change management
• Engage with external technology partners, vendors, and the broader hardware AI ecosystem to inform Meta's transformation strategy and identify emerging capabilities relevant to consumer electronics development
• Provide technical and strategic guidance to engineering leaders and program teams navigating ambiguous, first-of-a-kind AI integration challenges in hardware development contexts

Minimum Qualifications:

• 12+ years of experience in hardware systems engineering, systems architecture, or technical program management for consumer electronics, wearable devices, wearables hardware, or related hardware product domains
• Experience leading large-scale technical transformation programs that span multiple engineering disciplines and organizational boundaries within a hardware development environment
• Experience applying AI, machine learning, or data-driven methodologies to hardware engineering workflows such as design automation, simulation, test and validation, or manufacturing process optimization
• Experience defining strategic roadmaps and driving organizational alignment across hardware engineering, research, and product leadership at the executive level
• Experience communicating complex technical strategy and cross-functional program trade-offs in writing to both engineering and non-technical executive audiences

Preferred Qualifications:

• Experience deploying generative AI or large language model-based tools within engineering design or verification workflows for consumer hardware products
• Experience building or scaling AI-enabled design space exploration, predictive failure analysis, or simulation acceleration capabilities in a hardware engineering context
• Familiarity with hardware development processes for wearable devices, including subsystem integration, bring-up, and mass production readiness
• Track record of establishing new engineering practices or centers of excellence that measurably improved development velocity or product quality across a hardware organization

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 accommodations-ext@meta.com.

Key skills/competency

• AI Transformation
• Hardware Engineering
• Machine Learning
• Generative AI
• Roadmap Definition
• Cross-functional Leadership
• Program Management
• Consumer Electronics
• AR/VR Devices
• Strategic Vision