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

Requirements

• 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

Qualifications

• Experience deploying generative AI or large language model-based tools within engineering design or verification workflows for consumer hardware products
• 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

Benefits

$208,000/year to $289,000/year + bonus + equity + benefits