Senior AI/HPC Network Performance Engineer

Meta; New York (NY); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's AI Training and Inference Infrastructure team is seeking an AI/HPC Network Performance Engineer to design, deploy, and operate networking for large-scale AI training workloads. You will explore topologies, RDMA, and scalable fabrics while collaborating with hardware, software, and sourcing teams.

The role requires 8+ years in system performance or HPC networking and proficiency in Python, C++, and Go.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related field.
• 8+ years in system performance or network infrastructure in large-scale HPC environments.
• Experience coding in Python, C++, Go.

Responsibilities

• Design, develop, test and operate networking systems for large-scale AI training jobs.
• Research, deploy technologies and network topologies to scale AI networks.
• Define and develop optimized network automation tools and systems.
• Be on-call to address production challenges and improve future products.
• Provide guidance on network architecture for scale-up and scale-out topologies.

Skills

Python

C++

Go

Distributed systems

Network automation

On-call support

Education

Bachelor's degree in CS/Engineering or equivalent practical experience

Tools

RDMA / IB Networks

RoCE

SDN

Job description

Meta's AI Training and Inference Infrastructure team is seeking an AI/HPC Network Performance Engineer to design, deploy, and operate networking for large-scale AI training workloads. You will explore topologies, RDMA, and scalable fabrics while collaborating with hardware, software, and sourcing teams.

The role requires 8+ years in system performance or HPC networking and proficiency in Python, C++, and Go.