Systems Integration Engineer

The Systems Integration Engineer (SIE) is responsible for the successful Integration of new hardware platforms & new infrastructure technologies into the data center. This includes leading the system design for serviceability (DFS) requirements development, implementation along with validating new data center hardware tooling & automation readiness for deployment a is seeking a forward-thinking, experienced engineer with deep technical leadership experience and skills in Server Hardware, high performance Compute, Storage, ASICs, Accelerators (GPU), and/or Networking in a data center environment.

These skills will be used to develop test plans for operational integration of future AI/ML, compute, storage and networking products into the existing software tooling infrastructure. The candidate shall also have good knowledge of the AI/ML system architecture at the block level with hands‑on skills to triage the systematic failures in the field.

This role will interact with cross functional teams and individuals across engineering, operations, and leadership teams. This role requires an experienced, dedicated professional to effectively collaborate and influence internal stakeholders on the validation of infrastructure tooling support for Meta designed hardware.

In this role, you will work on a small team focused on solving complex systems integration challenges across Meta's data center infrastructure.

• BS in Engineering or relevant technical field, or commensurate technical experience 10+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage or networking equipment
• Strong communications skills and demonstrated ability to influence cross functional teams
• Strong interpersonal skills and a solution-oriented attitude
• Proven track record of dealing with ambiguity and developing processes for new technologies and taking them to production
• Experience developing test plan derived from specifications and executing to those plans using industry standard testing tools for successful completion
• Strong technical aptitude demonstrated by familiarity with ASIC, compute, storage & network architecture and components, hardware troubleshooting and diagnosis capabilities, and/or hardware manufacturing
• Experience working in a global environment with geographically distributed teams
• Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java)
• Experience learning software, frameworks and APIs
• Experience with operational validation methods and verification activities for the new product integration
• Experience building cross-functional relationships and influencing policies and procedures to improve hardware platform integration
• Experience with Linux operating systems and utilities
• Experience with test-driven software development
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with hardware development and lifecycle management
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience with AI/ML hardware development and deployment at scale
• Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
• Proficiency with git or similar SCM tools
• Master's or PhD in Electrical, Industrial or Manufacturing engineering
• Experience with developing for, or managing large-scale server installations