Software Engineer, Technical Leadership - Supply Chain Optimization and Capacity

Meta; Menlo Park, Northern (CA, KY); On-site; USD 271,000 - 347,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Meta is seeking a Software Engineer, Technical Leadership, to define the multi-year strategy for supply-chain optimization and capacity planning across its infrastructure. You will architect platforms that integrate demand, supply, inventory, and logistics into reliable workflows and translate optimization models into production-grade systems.

You will work with Data Science, Data Engineering, and Finance to improve forecast accuracy and drive executive-level decisions, mentoring senior

Qualifications

• 12+ years of experience setting technical direction for large-scale software systems across multiple teams or organizations.
• 10+ years of experience designing, building, and operating production software systems in complex, ambiguous, cross-functional domains.
• Experience with operations research, mathematical optimization, simulation, forecasting, or decision-support systems.
• Experience applying optimization or modeling techniques to supply-chain, logistics, capacity planning, inventory, manufacturing, fulfillment, sourcing, infrastructure planning, or related operational domains.
• Experience translating models or analytical approaches into production-grade systems with monitoring, validation, explainability, and operational ownership.

Responsibilities

• Define and drive the multi-year technical strategy for supply-chain optimization, capacity planning, and fulfillment decision systems across Meta infrastructure.
• Architect production platforms that connect demand, supply, inventory, manufacturing capacity, logistics, regionalization, cost, and risk into reliable planning and execution workflows.
• Translate operations research models, optimization algorithms, simulations, and planning heuristics into scalable, maintainable, explainable software systems.
• Lead the design and evolution of solver-backed and simulation-backed systems for inventory placement, supply allocation, capacity fulfillment, manufacturing feasibility, network design, logistics optimization, and scenario planning.
• Partner with Data Science, Data Engineering, Supply Chain, Finance, Product, and Infrastructure Engineering teams to create trusted sources of truth and measurable forecasting.
• Identify opportunities to reduce stranded capacity, improve on-time delivery, accelerate fulfillment, and reduce manual planning cycles.

Skills

Leadership

Software architecture

Operations research

Optimization

Cross-functional collaboration

Programming (C++, Python, Java)

Education

Bachelor's degree in Computer Science or related field

Tools

Gurobi

OR-Tools

CPLEX

Job description

Software Engineer, Technical Leadership - Supply Chain Optimization and Capacity# Software Engineer, Technical Leadership - Supply Chain Optimization and CapacityMenlo Park, CA Data Center Operations+ 2 moreApply nowMeta is seeking an experienced Software Engineer, Technical Leadership to lead the technical strategy for production systems that model, optimize, and automate Meta’s infrastructure supply chain and capacity planning. Meta’s infrastructure supply chain is one of the most complex planning and fulfillment systems in the world, spanning demand, supply, inventory, manufacturing constraints, logistics, data center capacity, hardware availability, regionalization, cost, and risk.This role will help build the next generation of decision systems for infrastructure supply chain and capacity fulfillment. The ideal candidate combines deep software engineering and systems design experience with strong operations research, optimization, and supply-chain modeling expertise. They will translate mathematical models and decision frameworks into reliable, explainable, production-grade platforms that help Meta deliver the right capacity, in the right place, at the right time, while improving predictability and minimizing waste.This is a senior individual contributor role with broad cross-functional scope. The person in this role will set multi-year technical direction, partner deeply with Engineering, Data Science, Data Engineering, Product, Finance, Supply Chain, Infrastructure, and Operations teams, and influence executive-level decisions in a high-scale, ambiguous, and business-critical problem space.---## Software Engineer, Technical Leadership - Supply Chain Optimization and Capacity Responsibilities* Define and drive the multi-year technical strategy for supply-chain optimization, capacity planning, and fulfillment decision systems across Meta infrastructure.;.* Architect production platforms that connect demand, supply, inventory, manufacturing capacity, logistics, regionalization, cost, and risk into reliable planning and execution workflows.;.* Translate operations research models, optimization algorithms, simulations, and planning heuristics into scalable, maintainable, explainable, and auditable software systems.;.* Lead the design and evolution of solver-backed and simulation-backed systems for problems such as inventory placement, supply allocation, capacity fulfillment, manufacturing feasibility, network design, logistics optimization, and scenario planning.;.* Partner with Data Science, Data Engineering, Supply Chain, Finance, Product, and Infrastructure Engineering teams to create trusted sources of truth, improve forecast-vs-actual accuracy, and make planning assumptions measurable.;.* Identify high-leverage opportunities to reduce stranded capacity, improve on-time delivery, accelerate fulfillment, reduce manual planning cycles, and improve confidence in executive and operational decisions.;.* Establish engineering patterns, model governance, validation approaches, and operational standards for decision systems used in high-stakes planning workflows.;.* Drive alignment across multiple teams and organizations, including resolving technical tradeoffs where systems, data, business process, and operational reality intersect.;.* Mentor and raise the technical bar for senior engineers working on optimization, planning, data quality, workflow automation, and infrastructure decision systems.;.* Communicate complex technical and business tradeoffs clearly to senior engineering leaders, cross-functional partners, and executive stakeholders.## Minimum Qualifications* 12+ years of experience setting technical direction for large-scale software systems across multiple teams or organizations* 10+ years of experience designing, building, and operating production software systems in complex, ambiguous, cross-functional domains* Experience with operations research, mathematical optimization, simulation, forecasting, or decision-support systems* Experience applying optimization or modeling techniques to supply-chain, logistics, capacity planning, inventory, manufacturing, fulfillment, sourcing, infrastructure planning, or related operational domains* Experience translating models or analytical approaches into production-grade systems with monitoring, validation, explainability, and operational ownership* Experience partnering with cross-functional teams such as Data Science, Data Engineering, Product Management, Finance, Operations, Supply Chain, or Infrastructure* Experience influencing senior technical and business stakeholders through written strategy, architecture reviews, and executive-level communication* Programming experience in one or more general-purpose languages such as C++, Java, Python, Hack, Go, Rust, or similar* Bachelor’s degree in Computer Science, Engineering, Operations Research, Industrial Engineering, Applied Mathematics, or equivalent practical experience* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience## Preferred Qualifications* Experience operating at staff, principal, distinguished, or equivalent senior technical leadership level* Experience with solver technologies or modeling frameworks such as Gurobi, OR-Tools, Xpress, CPLEX, Pyomo, custom solvers, discrete-event simulation, or similar systems* Experience with methods such as mixed-integer programming, linear programming, constraint programming, network flow, facility location, bin packing, stochastic optimization, scheduling, allocation, or reinforcement learning for planning* Experience building systems for infrastructure capacity planning, cloud capacity, hardware supply chain, GPU/accelerator planning, data center planning, logistics, inventory optimization, or manufacturing capacity planning* Experience designing human-in-the-loop planning tools, what-if/scenario planning systems, or decision-support products used by business and operations teams* Experience improving data quality, source-of-truth architecture, model validation, or forecast-vs-actual measurement in fragmented enterprise systems* Experience leading zero-to-one technical efforts in domains with incomplete data, overloaded terminology, and multiple partial sources of truth* Advanced degree in Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, Supply Chain, or a related technical field---## About MetaMeta 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.For those who live in or expect to work from California if hired for this position, please click here for additional information.United States of America: $271,000/year to $347,000/year + bonus + equity + benefitsIndividual 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.## Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.