Staff, Systems Engineer

Wonder

19h

About The Position

We’re looking for a Supply Chain Systems Engineer to join our team in building the 'brain' of Wonder’s supply chain system. You will work closely with Senior Software Engineers to develop the logic that translates sales forecasts into automated ordering plans for our distribution centers, fulfillment centers, production facilities and vendor orders. Our team works with stakeholders from all over the company to solve complicated problems with cutting-edge technology. This role is perfect for someone who loves the intersection of clean, production-ready code and complex mathematical modeling. You will help us simulate real-world constraints such as lead times and procurement strategies to ensure our high-density restaurants are always stocked and ready to serve.

Requirements

5–8+ years of relevant experience in software engineering or systems modeling
MS or PhD in Computer Science, Operations Research, Industrial Engineering, Applied Math, or a related quantitative field
Demonstrated ability to model complex physical supply chain problems and iteratively build production-ready solutions
Mastery of Java, Kotlin, Python, or other related languages and SQL is required.
Proven track record of deploying, scaling, and maintaining optimization or simulation solutions in a production environment with high uptime requirements
Experience building discrete-event or stochastic simulations to stress-test supply chain logic against real-world uncertainty
Strong grasp of modern software development lifecycles, including CI/CD, unit testing/integration testing, and version control (Git)
Ability to work under the guidance of Senior Engineering and Product leadership to translate complex business KPIs (cost, fill rate, waste) into technical solutions
Specific experience in e-commerce, food tech, or retail distribution centers (understanding "picking" logic and "vendor lead times")

Nice To Haves

Professional experience with at least one statically-typed, compiled language to ensure compatibility with high-performance backend systems is preferred.

Responsibilities

Write production-level code to deploy operation research models and algorithms that drive cross network fulfillment.
Build and maintain simulation frameworks to stress-test procurement strategies against real-world uncertainty
Manage the technical logic for complex configurations including multi-location availability, on-order tracking, and delivery schedules.
Work under the guidance of Senior Software Engineers to ensure all models are performant, scalable, and integrated into the core platform.
Partner with Product and Analytics to define data requirements, ensuring our models use the most accurate and "clean" signals from the supply chain.
Follow a 'simple first' approach, delivering practical code that balances mathematical complexity with system reliability.
Design and implement highly available planning logic that maintains high uptime and data consistency, ensuring that DC and vendor ordering systems are mission-critical and failure-tolerant.
Optimize algorithm execution and data retrieval patterns to ensure the planning engine remains performant as we scale the number of locations, configurations, and sales volume.