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

Size: 10000+ employees
Industry: Engineering, Social Media, Technology

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Meta is seeking a Planning & Capacity Engineer to join the Infrastructure Supply Chain and Engineering (ISCE) Planning team to focus on planning optimization for all of Meta's infrastructure (Servers, Data Centers, Network) supply chain. This role will focus on creating and optimizing supply chain plans at various altitudes to balance capacity, flexibility, supply, and cost, from base components to finished goods, in an environment of continual product introduction, directly managing billions of investment annually. We will do this primarily by building software and mathematical optimization models, not manual planning. The team is uniquely positioned to develop and optimize these capacity plans and scaleably manage exceptions at the most strategic levels with company level impact.

This role is very cross-functional and provides an opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal deployment and operation of our infrastructure from both a cost and technology perspective, with millions of servers, gigawatts of data center capacity, and cutting-edge technology, including advanced artificial intelligence.In-depth understanding of optimizing complex systems, working with large datasets, supply chains, and driving business impact, we encourage you to apply for this exciting opportunity.

Supply Chain Capacity Engineer Responsibilities:

• Own infrastructure supply chain planning for Meta (as part of Meta's overall capacity plan): including servers, network, and data center equipment from components to finished goods
• Design improvements to software systems to improve supply chain planning efficiency and quality, partner with software engineers to implement and contribute code yourself
• Develop and analyze business and technical data and scenarios to drive executive decisions around infrastructure supply and spend
• Contribute to end to end supply chain planning processes (as part of Meta's overall capacity plan), methodologies, and data to deliver an executable and optimized supply plan
• Manage and resolve critical escalations and exceptions in all areas of the supply chain
• Critique demand signals curated by upstream teams, and build an anticipatory demand view for ISCE through mathematical modeling and business judgement
• Influence and interweave technology strategy and transitions into planning models
• Develop and code models that drive supply flexibility and optionality to best balance delivery of required capacity, cost, and risk
• Build mathematical models to perform simulation and optimization studies of demand projections, scenario planning, and gap closure analysis while balancing constraints, product mixes and inventory costs
• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
• Partner across Infra - platform teams, server hardware engineering, network engineering, data center engineering, operations, capacity planning, networking planning, data center planning, energy - to find the most optimal ways to build and scale our Infrastructure
• Partner with Finance to balance cost efficiency with technical, product and supply chain considerations

**Minimum Qualifications:Email Address

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• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• 4+ years of experience in performance or software engineering and/or optimization pertinent data science
• 4+ years of experience in designing and implementing models and optimization algorithms
• 2+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
• 2+ years of experience in supply chain management - planning, manufacturing, operations, inventory, etc
• Experience working with distributed systems at scale
• Experience in supply chain planning optimization
• Experience in infrastructure operations and technical infrastructure knowledge
• Experience working with cross-functional teams
• Experience managing ambiguity

Preferred Qualifications:

• MS or PhD degree in Computer Science, Mathematics, Operations Research, Supply Chain Analytics or other technical field
• Track record of success in planning for a complex supply chain environment
• Experience transforming business systems, models, and achieving results relative to goals. Demonstrated skills questioning the norm, thinking out-of-bounds, and delivering
• Experience interfacing with internal and external partners in a cross-functional environment, requiring a latitude for judgment while coordinating people and technical resources

About Meta:

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 Whats App 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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$117,000/year to $181,000/year + bonus + equity + benefits

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.

Client-provided location(s): Fremont, CA

Job ID: a1KDp00000CZL4LMAX

Employment Type: OTHER

Posted: 2026-01-16T19:42:27
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Perks and Benefits

Health and Wellness

• Health Insurance
• Health Reimbursement Account
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• FSA
• FSA With Employer Contribution
• HSA
• HSA With Employer Contribution
• Fitness Subsidies
• On-Site Gym
• Mental Health Benefits

Parental Benefits

• Birth Parent or Maternity Leave
• Non-Birth Parent or Paternity Leave
• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Commuter Benefits Program
• Casual Dress
• Happy Hours
• Snacks
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Unlimited Paid Time Off
• Paid Holidays
• Personal/Sick Days
• Sabbatical
• Leave of Absence

Financial and Retirement

• 401(K)
• 401(K) With Company Matching
• Pension
• Company Equity
• Performance Bonus
• Relocation Assistance
• Financial Counseling

Professional Development

• Learning and Development Stipend
• Promote From Within
• Mentor Program
• Shadowing Opportunities
• Access to Online Courses
• Lunch and Learns
• Internship Program

Diversity and Inclusion

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