Meta
Technical Program Manager, AI Infrastructure
$168K–$234K
Menlo Park, CA · Manager · Full-time · Posted Jul 8, 2026
- Experience
- 10+ years in software engineering, systems engineering, hardware engineering, or technical product/program management.
- Education
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
About the job
Leads end-to-end development and deployment of hardware platforms for Meta’s AI training and inference infrastructure, coordinating internal teams and external vendors.
What you'll do
- Manage next-generation hardware programs from requirements and design through validation, deployment, and production adoption.
- Coordinate engineering, infrastructure, capacity-planning, and vendor teams; manage scope, schedules, deliverables, roadmaps, and stakeholder communication.
- Apply AI-enabled tools and responsible AI practices to improve workflows, prototype artifacts, and build AI capabilities across teams.
What they ask for
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- 10+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management.
- Experience delivering technology programs or products from inception to delivery and working across multiple teams.
- Hardware systems design and new product introduction lifecycle management; experience using AI tools to accelerate workflows.
Nice to have
- Experience with data center deployment.
- Experience with large-scale AI cluster buildout, AI/ML server development, or working with ODMs and other vendors.
Pay
$168,000/year to $234,000/year (base salary)
Tools
AI/ML servers, AI Training and Inference systems, capacity planning tools and systems
AI focus
Supports AI training and inference infrastructure; uses AI tools to accelerate workflows and prototype, validate, and ship artifacts; scales responsible, AI-native practices across teams.
Model-written summary · the original posting is authoritative