Planning & Capacity Engineer
| Company | Meta |
|---|---|
| Location | Fremont, CA, USA |
| Salary | $147000 – $208000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of experience in performance or software engineering and/or optimization pertinent data science
- 6+ years of experience in designing and implementing models and optimization algorithms
- 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
- 3+ 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, proven intellectual curiosity
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
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 an entrepreneurial and cross-functional environment, requiring a latitude for independent judgment while coordinating people and technical resources