Software Engineer Manager - ML Infra

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.

Responsibilities

• People Leadership: Build and 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.

Requirements

• 3+ years managing software engineering teams with a 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 deeply 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.

Preferred Qualifications

• 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).
• Familiarity with AI compilers, high-performance kernel development, or hardware enablement.
• Experience building teams in ambiguous, exploratory domains.
• Background in performance optimization/profiling.
• 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.

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.

Pay

$184,000/year to $257,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location.

Benefits

In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.