Engineering Manager, Neural AI Infrastructure & Hardware

Meta; Bellevue (WA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta seeks an engineering manager to lead the Neural Interface ML Infra team, driving AI/ML system optimization, distributed architectures, and embedded AI for wearables. The role focuses on efficiency, scalability, and infrastructure cost control across hardware and software domains.

The manager partners with AI Infra, Hardware Engineering, Product, and Research to shape technical direction, manage roadmaps, and mentor engineers toward consistent delivery and impact.

Qualifications

• 3+ years managing software engineering teams with a track record of delivering measurable outcomes
• Technical background in at least two of: AI/ML systems, distributed/HPC systems, software tooling and infrastructure or model optimization with GPUs/accelerators
• Demonstrated ability to engage deep in technical work and guide decisions
• Proven track record growing engineers
• Experience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentations

Responsibilities

• 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

Skills

People Leadership

Technical Leadership

Execution

Cross-Functional Collaboration

Stakeholder communication

Education

MS/PhD in CS/EE or related field

Tools

PyTorch

TensorFlow

Job description

Meta seeks an engineering manager to lead the Neural Interface ML Infra team, driving AI/ML system optimization, distributed architectures, and embedded AI for wearables. The role focuses on efficiency, scalability, and infrastructure cost control across hardware and software domains.

The manager partners with AI Infra, Hardware Engineering, Product, and Research to shape technical direction, manage roadmaps, and mentor engineers toward consistent delivery and impact.