Software Engineering Manager - Neural Interface ML Infra

Lead a team at the intersection of AI, distributed systems, and hardware architecture. The role drives ML model efficiency and scalability, infrastructure costs, and enables embedded AI capabilities. Directly supporting Meta's ability to train and serve AI models for wearable products.ResponsibilitiesPeople Leadership: Build/retain an engineering team; provide coaching, mentorship, and performance managementTechnical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs; define technical vision with Tech LeadsExecution: Drive complex hardware-software co-design projects to completion; manage roadmaps, timelines, and risk mitigationCross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research; represent the team to leadershipMinimum Qualifications3+ years managing software engineering teams with a track record of delivering measurable outcomesTechnical background in at least two of: AI/ML systems, distributed/HPC systems, software tooling and infrastructure or model optimization with GPUs/acceleratorsDemonstrated ability to engage deep in technical work and guide decisionsProven track record growing engineersExperience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentationsPreferred QualificationsM.S. or Ph.D. in CS, EE, or related fieldPrior Tech Lead, TLM, or IC experience before managementExperience building teams in ambiguous, exploratory domainsTrack record of maintaining team engagement, retention, and consistent delivery outcomesExperience managing AI infrastructure and capacity including GPU/CPU used for training, benchmarking and inferenceDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience with PyTorch, TensorFlow, or equivalent AI frameworksFamiliarity with AI compilers, high-performance kernel development, or hardware enablementDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesBackground in performance optimization/profilingExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About MetaMeta 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.Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.