Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Betzdorf
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du Optimierungsmodelle und Algorithmen zur Verbesserung von Netzwerkpfadwahl, Verkehrstechnik und Selbstoptimierung in satellitengestützten Kommunikationsnetzwerken.
Job Technologien
Deine Rolle im Team
- We are seeking a Network Optimization & AI/ML Engineer to develop optimization models, algorithms, and data-driven techniques for routing path selection, traffic engineering, capacity allocation, prediction, and autonomous network behavior in a multi-orbit satellite communications environment.
- This role sits at the intersection of operations research, graph algorithms, machine learning, AI-driven decision support, and network engineering.
- The position is ideal for someone who can transform complex network and constellation constraints into practical algorithms that improve latency, capacity utilization, resilience, and operational efficiency.
- Formulate optimization problems for routing path selection, traffic engineering, resource allocation, congestion mitigation, and service assurance.
- Develop algorithms for dynamic, multi-layer satellite-terrestrial network scenarios with changing topology, demand, failures, and operational constraints.
- Apply AI and machine learning techniques for traffic prediction, anomaly detection, failure mitigation, self-optimization, and decision support.
- Build prototypes and evaluation pipelines to compare optimization strategies against baseline routing and control-plane approaches.
- Work with architecture, simulation, control-plane, software, and validation teams to integrate algorithms into experimental and production-oriented workflows.
- Define objective functions, constraints, metrics, data requirements, and validation approaches for algorithmic network optimization.
- Analyze trade-offs across latency, throughput, availability, fairness, capacity, security, and operational complexity.
- Document mathematical models, assumptions, performance results, and implementation guidance for technical and programme stakeholders.
Unsere Erwartungen an dich
Ausbildung
- Advanced degree in Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, Data Science, or a related field, or equivalent professional experience.
Qualifikationen
- Strong foundation in optimization, including convex optimization, linear programming, integer programming, combinatorial optimization, heuristics, and metaheuristics.
- Strong foundation in graph theory, network flow, routing algorithms, stochastic processes, queueing theory, and performance modeling.
- Ability to design statistically rigorous experiments, evaluate algorithm performance, and communicate assumptions and limitations clearly.
- Familiarity with SDN, traffic engineering, satellite networks, telecom systems, or distributed network control is highly valuable.
- The candidate must be eligible for a "SECRET" security clearance, in accordance with the national regulations as well as EU/ESA/NATO equivalents.
Erfahrung
- Hands-on experience with machine learning, time-series forecasting, anomaly detection, reinforcement learning, or AI-driven decision systems.
- Programming skills in Python and experience with scientific computing and optimization tooling such as NumPy, SciPy, PyTorch, TensorFlow, OR-Tools, Gurobi, CPLEX, or similar frameworks.
- Experience moving research prototypes toward maintainable software components or operational decision-support tools.
Unser Angebot
- Willing to work 60% onsite from office.
- Travel as required for project realization purposes.
Benefits
Gesundheit, Fitness & Fun
Essen & Trinken
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
SES
Weltweit ist die SES-imagotag Gruppe Marktführerin in Sachen digitaler Preisschilder und unterstützt die führenden Einzelhändler bei der Digitalisierung ihrer Prozesse - 200 Retailketten in mehr als 60 Ländern setzen auf die digitale Kompetenz unserer 370 Spezialist:innen.
Description
- Unternehmensgröße
- 1-49 Employees
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom