Software Engineer, Technical Leadership - Supply Chain Optimization and Capacity

Software Engineer, Technical Leadership
- Supply Chain Optimization and Capacity# Software Engineer, Technical Leadership
- Supply Chain Optimization and Capacity Menlo Park, CA Data Center Operations+ 2 more Apply 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,…