Systems Integration Engineer

**Summary:** 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 at scale. Meta 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. **Required Skills:** Systems Integration Engineer Responsibilities: 1. Lead new product introduction and associated processes for the successful launch of new hardware platforms into our data centers globally 2. Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic coverage plans for both hardware and software 3. Lead hardware reviews and drive system Design for Serviceability requirements to ensure form, fit and function for new hardware development in our existing data center environment/architecture 4. Lead the development and execution of Data Center readiness tooling validation testing based on tooling development plans 5. Early engagement with design development teams (both internal and external) to drive improvements and influence hardware and tooling architecture 6. Partner with cross functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones 7. Partner with cross functional partners in Meta's Data Center Operations team to understand infrastructure deployment and operational requirements 8. Collaborate with Production Engineers, Hardware Validation Engineers, Tooling Automation Engineers, and Data Center Operations Engineers to build thorough test strategy and test plans for validating the software needed for Data Center Operations 9. Work with ODM/OEM vendors as needed to define the product specifications, development plans & test plans 10. Capture lessons learned for issues in Production and create test cases to address those issues in future hardware platforms 11. 25% domestic and/or international travel required to Meta Data Centers/ offices **Minimum Qualifications:** Minimum Qualifications: 12. BS in Engineering or relevant technical field, or commensurate technical experience 13. 10+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage or networking equipment 14. Strong communications skills and demonstrated ability to influence cross functional teams 15. Strong interpersonal skills and a solution-oriented attitude 16. Proven track record of dealing with ambiguity and developing processes for new technologies and taking them to production 17. Experience developing test plan derived from specifications and executing to those plans using industry standard testing tools for successful completion 18. Strong technical aptitude demonstrated by familiarity with ASIC, compute, storage & network architecture and components, hardware troubleshooting and diagnosis capabilities, and/or hardware manufacturing 19. Experience working in a global environment with geographically distributed teams 20. Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java) 21. Experience learning software, frameworks and APIs 22. Experience with operational validation methods and verification activities for the new product integration 23. Experience building cross-functional relationships and influencing policies and procedures to improve hardware platform integration **Preferred Qualifications:** Preferred Qualifications: 24. Experience with Linux operating systems and utilities 25. Experience with test-driven software development 26. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 27. Experience with hardware development and lifecycle management 28. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 29. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 30. Experience with AI/ML hardware development and deployment at scale 31. Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console 32. Proficiency with git or similar SCM tools 33. Experience with developing for, or managing large-scale server installations **Public Compensation:** $173,000/year to $245,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.