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 which will guide the hardware design starting from the architecture planning phase, implementation along with validating new data center hardware tooling & automation readiness for deployment at scale, and troubleshooting critical systematic issues from the fleet.Meta is seeking an experienced engineer with technical leadership experience and skills in Server Hardware, high performance Compute, Storage, ASICs, Accelerators (GPU), and/or Networking in a data center environment.This role requires expertise in introduction of new hardware platforms into data centers and has either developed robust hardware system test plans, or validation planning as a systems engineer supporting AI/ML, compute, storage & network hardware 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 should also have 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 stakeholders across the organization. This role involves effectively collaborating with and influencing internal stakeholders on the validation of infrastructure tooling support for Meta designed hardware.In this role, you will work with cross-functional teams on emerging data center and hardware technologies, solving complex integration challenges. **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. Collaborate with cross functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones 7. Collaborate 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 **Minimum Qualifications:** Minimum Qualifications: 12. BS in Engineering or a relevant field, or commensurate technical experience 13. 5+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage or networking equipment 14. Experience collaborating with cross-functional engineering teams to resolve technical issues and align on project milestones 15. Experience developing test plan derived from specifications and executing to those plans using industry standard testing tools for successful completion 16. Experience with ASIC, compute, storage & network architecture and components, hardware troubleshooting and diagnosis, and/or hardware manufacturing 17. Experience working with geographically distributed remote teams 18. Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java) 19. Experience learning software, frameworks and APIs 20. Experience with operational validation methods and verification activities for the new product integration 21. Experience building cross-functional relationships and influencing policies and procedures to improve hardware platform integration **Preferred Qualifications:** Preferred Qualifications: 22. Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console 23. Experience with test-driven software development 24. Experience with hardware development and lifecycle management 25. Experience with Linux operating systems and utilities 26. Experience with AI/ML hardware development and deployment at scale 27. Experience with developing for, or managing large-scale server installations 28. Master's in Electrical, Industrial or Manufacturing engineering 29. Proficiency with git or similar SCM tools **Public Compensation:** $144,000/year to $204,000/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.