系统集成工程师

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

10+ years of experience in system administration or engineering, hardware validation testing and/or acceptance testing of AI/ML, compute, storage or networking equipment

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 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

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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)

Knowledge of out-of-band/lights-out server communication methods, such as IPMI and serial console

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People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

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You may view our Equal Employment Opportunity notice here.

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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.