Operations Engineer - Meta

The Global ODM Operations team within the Global Supply Chain Operations (GSCO) group is responsible for teaming with our supply chain partners to build, deliver, and enable Meta’s AI, Compute and Storage infrastructure. Meta’s computing foundation is its Data Centers, and key strategic partnerships with Original Design Manufacturers (ODMs) across the Compute and Storage industry are a crucial piece in building and operationalizing this infrastructure. The Global ODM Operations team is responsible for managing the operational performance of these ODM partners by setting key metrics, ensuring operational success and driving performance improvement programs across Meta’s supply chain, and is ultimately responsible for manufacturing operations and on-time-delivery of the hardware. This requires a dynamic approach to work to unlock challenges on the tactical (ex. supply), strategic (ex. Supply chain strategy), and foundational (ex. process overhaul) levels for Inventory Partners, ODMs, and Meta. The team is inherently dynamic, requiring coordination across engineering, NPI, mass production, and sustaining teams all within a given cycle. Put simply: this team is composed of problem solvers who build relationships both within- and beyond- Meta to achieve industry-leading performance and pave the way for Meta’s AI-enabled infrastructure.We are seeking an Operations Engineer to join our team, responsible for leveraging scientific and mathematical methods to analyze and improve the manufacturing and delivery operations of our hardware supply chain. The candidate will have a background in Industrial Engineering & Operations Research and experience in applying technical expertise to drive operational excellence.

RESPONSIBILITIES

Operations Engineer Responsibilities:

• Stochastic Modelling and Simulation:
• (a) Develop and apply stochastic models to simulate complex manufacturing systems, including production capacity, throughput, and material flow
• (b) Analyze simulation results to identify bottlenecks, optimize production planning, and improve overall system performance.
• (c) Collaborate with cross-functional teams to validate model assumptions and ensure alignment with business objectives.
• Optimization and Algorithms:
• (a) Design and implement optimization algorithms in partnership with suppliers to solve complex problems in manufacturing operations and Infra hardware delivery & logistics
• (b) Analyze and optimize supply chain operations including capacity planning, production scheduling, reverse logistics, inventory management, material management and transportation routing
• (c) Continuously monitor and refine optimization solutions to ensure they remain effective and aligned with changing business needs.
• Supply Chain Systems:
• (a) Develop and implement data-driven solutions to improve supply chain visibility, agility, and responsiveness
• (b) Analyze financial data to identify trends, opportunities, and risks in operations. Collaborate with planning and finance teams to ensure accurate forecasting, budgeting, and reporting
• (c) Collaborate with suppliers and internal stakeholders to identify opportunities for process improvements and cost reductions.
• Manufacturing Process and Automation:
• (a) Map, analyze and optimize manufacturing and assembly processes to reduce waste, improve efficiency, and increase productivity
• (b) Collaborate with product quality engineering teams to design and implement automation solutions that improve manufacturing process reliability and reduce variability.
• Decision Analytics:
• (a) Analyze data to identify trends, opportunities, and risks in end-to-end manufacturing and supply chain operations
• (b) Develop and implement data-driven solutions to improve decision-making, reduce uncertainty, and increase confidence in capacity delivery business outcomes across bring-up, validation, launch and deployment of hardware systems.

MINIMUM QUALIFICATIONS

Minimum Qualifications:

• Bachelor's degree in Industrial Engineering, Operations Research or related technical field or equivalent combination of education.
• 10+ years of experience in operations research, industrial engineering, or related field.
• Experience managing time-sensitive projects through to completion while balancing evolving priorities and a diverse range of stakeholders.
• Experience with data analysis, modeling, and simulation tools (e.g., Excel, Python, R, Simul8).
• Analytical and problem-solving skills.
• Effective communication and collaboration skills.

PREFERRED QUALIFICATIONS

Preferred Qualifications:

• Masters or Ph.D. degree in Operations Research and/or Industrial Engineering.
• Proven experience interfacing with and establishing relationships with management at suppliers or customers.
• 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 & external partners in an entrepreneurial and cross-functional environment, requiring a latitude for independent judgment while coordinating people and technical resources.