自动化生产系统工程师

CI/CD pipelines, and automation frameworks that qualify large-scale AI hardware platforms at cluster scale — spanning provisioning, monitoring, and lifecycle management of compute, storage, and networking infrastructure

Develop tooling for hardware lifecycle management, fleet health observability, and automated remediation of production system failures across Meta's data center fleets

Identify and resolve systemic reliability and performance issues by analyzing hardware telemetry, failure patterns, and system-level diagnostics at scale

Collaborate with hardware engineering teams to define software interfaces, firmware integration requirements, and bring-up workflows for new server and accelerator platforms

Lead cross-functional efforts to evaluate, qualify, and integrate new hardware technologies into the production environment, including validation and qualification workflows

Develop scalable infrastructure automation that reduces operational toil and accelerates hardware deployment and remediation across the global fleet

Mentor other engineers on systems software design, debugging methodologies, and production infrastructure best practices

Communicate technical designs and architectural decisions through written documentation and cross-functional stakeholder alignment

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

3+ years of experience in production systems engineering or infrastructure software engineering, including development in C, C++, or Python for Linux-based environments

3+ years of experience with large-scale hardware infrastructure systems, including fleet automation, hardware lifecycle management, or data center operations software

3+ years of experience in designing and operating distributed systems software at scale, including monitoring, alerting, and automated remediation pipelines

3+ years of experience in communicating system designs and technical decisions through written documentation and cross-functional stakeholder engagement

6+ years of experience across a variety of infrastructure components such as network, and compute in a datacenter or large-scale production environment

3+ years of experience in building or operating CI/CD pipelines and test automation frameworks for infrastructure software

Familiarity with custom silicon or accelerator platform integration, including firmware and platform management interfaces

Expertise guiding cross-functional teams or ODM/vendor partners through the setup, integration, and execution of automation and validation frameworks at scale

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

When Facebook launched in 2004, it changed the way people connect.

Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

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.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

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You may view our Equal Employment Opportunity notice here.

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

3+ years of experience in production systems engineering or infrastructure software engineering, including development in C, C++, or Python for Linux-based environments.