性能与容量工程师——容量规划优化

Meta（Meta Platforms）岗位：Performance & Capacity Engineer - Capacity Planning Optimization(Technical Leadership) Responsibilities

Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently

Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software.

Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find optimal ways to scale our infrastructure and place our services

Design and help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc

Effectively lead large engineering efforts while implementing complex parts of the system and process design yourself

Partner with Finance and business teams to balance cost efficiency with technical and product considerations

Work cross-functionally to define problem statements, collect data, build software driven models and make recommendations to drive change and optimization at strategic levels

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

Proficient in Python, C++, or other coding languages and designing large scale software systems

Demonstrated success leading large engineering projects and initiatives.

Defining goals, managing ambiguity, inspiring and leading other engineers and Demonstrated success leading large engineering projects and initiatives, including defining goals, managing ambiguity, and inspiring and leading other engineers and non-technical contributors

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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

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)

Experience and interest in building "Zero to One" - building systems and processes from scratch with ambiguous requirements and goals

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

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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.

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

10+ years of experience in Performance, Capacity, or software engineering.

Proficient in Python, C++, or other coding languages and designing large scale software systems.