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, Facebook 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.

Production Systems Engineer, Sustaining Responsibilities

• Develop robust, industry leading practices for supporting AI/HPC infrastructure at scale


• Interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures


• Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues


• Implement sustaining workflows across hardware and software stacks, develop and communicate sustaining practices internally


• Troubleshoot, diagnose and root cause of system failures and isolate components and failure scenarios while working with .internal and external stakeholders


• Drive necessary discussions with external and internal teams on test specification and methodologies to improve test quality on an ongoing basis

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.


• 5+ years experience in hardware systems technologies or supporting production hardware at scale


• Experience in deploying and productionizing AI/HPC 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++)


• Engineering for different server and network datacenter systems

Preferred Qualifications

• 8+ years of experience in providing production support for large-scale systems


• 8+ years of experience in working with AI/HPC systems, including hardware and software components, co-design


• Experience in developing or debugging AI/HPC systems, performance optimizations, including familiarity with relevant tools, libraries, and frameworks (e.g., NCCL, PyTorch, CUDA)


• Knowledge of AI/HPC hardware requirements and specifications (e.g., configuring hardware components, GPU, memory, network for AI/HPC workloads)

Start preparing
Learn about how to prepare for your interview with our interview guide, tips, and interactive experiences.
Visit interview prep