网络工程师，基础架构与支持

Meta（Meta Platforms）岗位：Network Engineer, Foundation & Support (Edge and Network Services Product Lifecycle Support) Responsibilities

Support the New Product Introduction (NPI) process and ENS operational readiness validation workflows for new network platforms and topologies, and network-related components for AI training and inference infrastructure

Perform ENS operational readiness validation for NPIs owned by Connectivity Hardware Engineering, including structured-cabling products and passive rack-integration products (e.g., custom rack bracketry and related infrastructure), in addition to network platforms and topologies

Assess how cabling, rack-integration, and network platform products behave across server-, rack-, and multi-rack-level integrations (L10/L11/L12), identifying dependencies where a change at one level affects deployment or operability at the next level

Contribute to team roadmaps and goals that align with the current business priorities and organizational strategy

Drive improvements in technical references, NPI process, and deployment/operations documentation standards in support of continuous improvement initiatives

Collaborate across ENS, Network/Hardware Engineering, Connectivity Hardware Engineering, Site Operations, and other cross-functional partners to align on product readiness and deployment strategies

Facilitate clear communication of technical requirements, operational readiness risks, and escalations to leadership and cross-functional partners

Influence hardware and infrastructure design to ensure seamless integration of new products into the ENS deployment and operations processes

Publish NPI-related technical references, processes, and training documentation for global deployment and operations teams

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

6+ years of experience in network engineering, with a focus on enterprise network deployment, operations, and site services infrastructure

6+ years of experience designing, deploying, and operating LAN, WAN, and wireless network environments at scale across multiple physical sites

Working knowledge of rack-level integration and passive infrastructure (bracketry, mounting, cable management) and its deployment/operations implications

Experience leading incident response and troubleshooting for network outages in enterprise environments

Experience coordinating with vendors and cross-functional teams, including facilities, site operations, and infrastructure engineering teams

Experience with network configuration and provisioning automation using scripting languages such as Python

Experience leading large cross-functional projects in a global, matrixed environment with limited supervision

Experience in introducing new network solutions and managing NPI projects, with a focus on meeting timelines and delivering at scale

Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, with ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience in 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)

Demonstrated knowledge of NICs, optical transceivers, AOC, and DAC for high-speed interconnects

Experience with leading network technologies throughout the hardware product development lifecycle (Concept, EVT, DVT, PVT, and MP) using OEM, ODM, and JDM sourcing options

Experience with network architectures for high-bandwidth, low-latency applications and integrated AI training/inference rack equipment

Familiarity with system-integration interdependencies across server, rack, and multi-rack build levels (L10/L11/L12) for integrated AI rack infrastructure

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

Meta builds technologies that help people connect, find communities, and grow businesses.

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Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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.

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

6+ years of experience in network engineering, with a focus on enterprise network deployment, operations, and site services infrastructure.