Senior Engineer, Resource Optimization & Algorithm, IRIS2
Munich (Unterföhring), DE
EUR 66K-81K (estimate) Senior-level Full Time
Tasks
- Define algorithm KPIs and validation strategies
- Design optimization algorithms for resource allocation
- Develop algorithms for capacity planning congestion avoidance and contingency handling
- Model resource allocation routing and scheduling
- Provide algorithm inputs for architecture studies and trade off analyses
- Simulate algorithm performance under nominal and degraded scenarios
- Support MCC SMO orchestration decisions
- Translate system requirements into mathematical optimization models
- Validate optimization algorithms
Perks/Benefits
Skills/Tech-stack
C++ | Capacity Planning | Congestion avoidance | Constraint Programming | Contingency Handling | Data Analysis | Data Science | Graph Algorithms | Graph libraries | Heuristics | Integer Programming | Julia | Linear Programming | MATLAB | Metaheuristics | Mixed Integer | Mixed-Integer Programming | Multi-Objective Optimization | Network simulation | Objective optimization | Optimization | Optimization Libraries | Performance simulation | Python | Resource allocation | Routing | Scenario Based Evaluation | Scheduling | Sensitivity Analysis | Traffic modeling
Education
Regions
Countries
States
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