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About the Role

Lead a team at the intersection of AI, distributed systems, and hardware architecture. This 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

• Build and retain an engineering team, providing coaching, mentorship, and performance management.
• Engage in design reviews, architecture decisions, and technical trade-offs, defining technical vision with Tech Leads.
• Drive complex hardware-software co-design projects to completion, managing roadmaps, timelines, and risk mitigation.
• Collaborate with AI Infra, Hardware Engineering, Product, and Research, representing 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.

Skills

• AI/ML systems
• Distributed/HPC systems
• Model optimization with GPUs/accelerators
• Responsible, ethical AI practices
• Prompt/context engineering
• Agent orchestration
• AI compilers
• High-performance kernel development
• Hardware enablement
• Performance optimization/profiling
• PyTorch
• TensorFlow

Location

• Remote

Work Type

• Full-time

Experience Level

• 3+ years managing software engineering teams
• Prior Tech Lead, TLM, or IC experience before management

Education Level

• M.S. or Ph.D. in CS, EE, or related field

Salary/Compensations

• $184,000/year to $257,000/year + bonus + equity

Benefits

• Bonus
• Equity
• Benefits

About the Company

• Meta