Production Systems Engineer, Sustaining

Meta Careers; Austin, Menlo Park (TX, CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Meta seeks an experienced Production Systems Engineer to join the RTP team. The role focuses on hardware lifecycle, pre-production testing, and production readiness for Meta servers and data centers.

The candidate should have extensive experience with CPU systems, hardware-software co-design, and production support for large-scale systems, including AI/HPC workloads.

Qualifications

• Bachelor's degree in CS/CE or related field, or equivalent practical experience.
• 6+ years hardware systems or production hardware at scale.
• Experience deploying and productionizing CPU systems at scale.
• Experience in object oriented programming (Python, C/C++).
• 8+ years of production support for large-scale systems.

Skills

Python

C/C++

OO programming

Education

Bachelor's degree in CS/CE or related field

Tools

NCCL

PyTorch

CUDA

Job description

Meta is seeking an experienced Production Systems Engineer to join our Release to Production (RTP) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The RTP team is responsible for the Hardware Lifecycle of all Meta servers including pre-production hands‑on system and hardware debugging and stress testing, enabling production‑ready system monitoring, automated provisioning and automated remediation of issues. RTP Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Meta services, and data center operations teams to test systems before release to our production data centers, and to track the health and life cycle of servers in production.

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience6+ years of experience in hardware systems technologies or supporting production hardware at scale
• Experience in deploying and productionizing CPU systems and/or related components at scale
• Experience in software and hardware co-design for hyperscale systems
• Experience in object oriented programming (e.g., Python, C/C++)
• Experience in different server and network datacenter systems 8+ years of experience in working with CPU systems, including hardware and software components, co-design
• 8+ years of experience in providing production support for large-scale systems
• Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads)
• Experience in developing or debugging CPU systems in a VM environment, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)