Senior Production Systems Engineer AI/HPC Infra

Meta; Austin (TX); On-site; USD 160,000 - 230,000; Full time

Job summary

Meta seeks an experienced Production Systems Engineer to join the Release to Production (RTP) team. You will work on hardware lifecycle, testing, and production readiness for servers across data centers, collaborating with hardware designers, vendors, and data center operations.

The role emphasizes developing scalable testing practices, diagnosing issues, and driving improvements to test quality and workflows for AI/HPC workloads at scale.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 6+ years hardware systems tech or scale production support.
• Experience deploying and productionizing CPU systems and related components.
• Experience in software and hardware co-design for hyperscale systems.

Responsibilities

• Develop robust, scalable, reliable practices for AI and HPC infrastructure at scale.
• Interface with vendors and internal teams to understand system architecture and testing.
• Create experiments and tooling to diagnose hardware/firmware/software health issues.
• Implement sustaining workflows across hardware and software stacks and communicate them internally.
• Troubleshoot and root-cause system failures with stakeholders.
• Drive discussions on test specs and methodologies to improve test quality.

Skills

Hardware knowledge

Production support

Programming (Python/C/C++)

System debugging

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering

Tools

NCCL

PyTorch

CUDA

VM environments

Job description

Meta seeks an experienced Production Systems Engineer to join the Release to Production (RTP) team. You will work on hardware lifecycle, testing, and production readiness for servers across data centers, collaborating with hardware designers, vendors, and data center operations.

The role emphasizes developing scalable testing practices, diagnosing issues, and driving improvements to test quality and workflows for AI/HPC workloads at scale.