Optimization Engineer Gurobi Jobs in Raleigh, NC

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

Fidelity is building a modern, in-house Workforce Management (WFM) platform.You will own and builda constraint-solver foundationfor the Contact Center Workforce Management schedule optimization engineleveraging a CP-SAT/OR-Tools engineatenterprise scale and reliability.This roleis deeply a hands-on role,you willdesign, develop, and implement advance optimization models and algorithms to solve complex workforce planning and scheduling problems.

Key Responsibilities

• Research, design, and develop optimization models for contact center workforce planning, scheduling and resourceallocation.

• Design and implementtheschedule optimization engine using OR-Tools/CP-SAT

• Own the constraint model end to end: formalize business rule into a solvable, maintainable model.

• Build the production-grade solveras a service within the WFM platform that meets latency targets forrealforecast group volumes

• Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.

• Build and execute testsand validation of optimization algorithms to deliver performance, scalability, and accuracy

• Collaborate with architects and engineering teams to integrate optimization models into an enterprise-grade optimization engine of the workforce management platform.

• Effectively communicate and present findings, methodologies, and resultsto engineering and business stakeholders.

• Partner with workforce-planning and real-time-analyst stakeholders to validate that generated schedules are operationally usable.

Required Qualifications

• Bachelor'sofmaster's degree in operations research, Mathematics, Computer Science, or a related field.

• 5+ years of experience in applying operations research techniques to real-world problems

• Hands-on production experience with OR-Tools, CP-SAT, or a comparable constraint-programming / mixed-integer-programming solver.

• Strong foundation in linear programming, integer programming, or stochastic optimization.

• Proficiency inJava, Python, or C++.

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Experience working with large datasets and solving large scale optimization problems.

• Direct experience modeling and solving workforce or resource scheduling problems.

• Working knowledge of WFM domain.

• Knowledge of distributed systems andevent-driven architecture

Preferred Qualifications

• Prior experience building scheduling or optimization capability at a WFMSaaS provideror a large in-house contact center operations team.

• Familiarity with other solver technologies (e.g.,Gurobi, CPLEX,OptaPlanner).

• Experienceinapplying ML, AI, or Data Science