Job description

Lead a team at the intersection of AI, distributed systems, and hardware architecture. The role drives ML model efficiency and scale, infrastructure costs, and enables next-generation AI capabilities. Directly supporting Meta's ability to train and serve AI models at scale. People Leadership: Build/retain an engineering team; provide coaching, mentorship, and performance management Technical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs; define technical vision with Tech Leads Execution: Drive complex hardware-software co-design projects to completion; manage roadmaps, timelines, and risk mitigation Cross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research; represent the team to leadership 3+ years managing software engineering teams with high-performing team track record Technical background in at least two of: AI/ML systems, distributed/HPC systems, or model optimization with GPUs/accelerators Demonstrated ability to engage deep in technical work and guide decisions Experience supporting engineer development through mentorship, technical guidance, and career growth planning Experience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentations Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) M.S. or Ph.D. in CS, EE, or related field Familiarity with AI compilers, high-performance kernel development, or hardware enablement Experience building teams in ambiguous, exploratory domains Background in performance optimization/profiling Prior Tech Lead, TLM, or IC experience before management Experience with PyTorch, TensorFlow, or equivalent AI frameworks Track record of maintaining team engagement through regular feedback, clear goal-setting, and retention-focused practices, with consistent delivery outcomes

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Keywords to mirror

aiml

Platform: meta
Effort: medium

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Vision