Software Engineering Manager – AI Systems Co-Design at Meta

Takadam; Menlo Park (CA); On-site; USD 177,000 - 251,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Professional development

Equity

Job summary

Meta is seeking an Software Engineering Manager for the AI Systems Co-Design team, based in Menlo Park. You will lead HPC and AI infrastructure efforts at the intersection of hardware and software, delivering compute systems for large-scale models like LLaMA and DLRM.

You’ll collaborate with academia and industry, drive performance optimization, and guide cross-functional teams across engineering, research, and product groups to push the boundaries of scalable AI infrastructure.

Qualifications

• Proven leadership in high-performance computing (HPC) and AI/ML systems.
• Experience with communication libraries (NCCL, RCCL, UCC, MPI).
• Background in GPU/ASIC kernel development (CUDA, ROCm).
• Skilled in distributed systems, systems architecture, and performance optimization.
• Experience managing large-scale engineering programs and cross-functional collaboration.

Responsibilities

• Lead the AI Systems Co-Design team, aligning hardware, software, and AI infra.
• Deliver high-performance compute systems to support large-scale AI models like LLaMA and DLRM.
• Collaborate with top academic institutions and industry partners to advance infrastructure.
• Shape Meta’s AI infrastructure strategy through cross-functional leadership.

Skills

HPC leadership

AI/ML systems

Distributed systems

Systems architecture

Performance optimization

Cross-functional collaboration

Large-scale program management

Team leadership

Tools

CUDA

ROCm

NCCL

RCCL

UCC

MPI

Job description

Software Engineering Manager – AI Systems Co-Design at Meta

Opportunity Number: 3113

Deadline to apply: July 15, 2025

About the Opportunity

Meta is hiring a Software Engineering Manager to lead the AI Systems Co-Design team working at the intersection of hardware, software, and AI infrastructure. The role focuses on delivering high-performance compute systems supporting large-scale AI models such as LLaMA and DLRM. This team plays a vital role in shaping Meta’s future AI infrastructure, with deep collaborations across academia and industry.

• Competitive salary: $177,000–$251,000 per year + bonus + equity
• Work on state-of-the-art AI infrastructure projects (e.g., LLaMA, MTIA)
• Collaborate with top academic institutions and industry leaders
• Access to Meta’s benefits: health insurance, paid leave, professional development
• Opportunities for high-impact innovation at scale

Eligibility Criteria

• Proven leadership in high-performance computing (HPC) and AI/ML systems
• Experience with communication libraries (NCCL, RCCL, UCC, MPI)
• Background in GPU/ASIC kernel development (CUDA, ROCm)
• Skilled in distributed systems, systems architecture, and performance optimization
• Experience managing large-scale engineering programs and cross-functional collaboration
• Bonus: Expertise in collective communication and network architecture