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 the operational integration of future AI/ML, compute, storage, and networking products into the existing software tooling infrastructure. This role will interact with cross-functional teams and individuals across engineering, operations, and leadership functions. 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. If you have an interest in emerging hardware and data center technologies and enjoy working in small, agile, empowered teams solving complex problems within a fast-paced environment with evolving priorities then this is the role for you.
Responsibilities
Lead new product introduction and associated processes for the successful launch of new hardware platforms into our data centers globally
• Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic coverage plans for both hardware and software
• 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
• Lead the development and execution of Data Center readiness tooling validation testing based on tooling development plans
• Early engagement with design development teams (both internal and external) to drive improvements and influence hardware and tooling architecture
• Partner with cross functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones
• Partner with cross functional partners in Meta's Data Center Operations team to understand infrastructure deployment and operational requirements
• 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
• Work with ODM/OEM vendors as needed to define the product specifications, development plans & test plans
• Capture lessons learned for issues in production and create test cases to address those issues in future hardware platforms
• Triage, test, develop, and debug hardware platforms
• Create documentation for users of all levels
• 25% domestic and/or international travel required
Minimum Qualifications
• BS in Engineering or relevant field, or commensurate technical experience
• 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
• Experience with ASIC, compute, storage, and network architecture and components, hardware troubleshooting and diagnosis, and/or hardware manufacturing
• Experience working in a global environment with remote 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 mentoring team members to evaluate and identify better ways to resolve issues and define updates to tools and processes
Preferred Qualifications
• Experience with AI/ML hardware development and deployment at scale
• Experience with hardware development and lifecycle management
• Proficiency with git or similar SCM tools
• Experience with test-driven software development
• Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console
• Experience with Linux operating systems and utilities
• Master's or PhD in Electrical, Industrial or Manufacturing engineering
• Experience with developing for, or managing large-scale server installations
