Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Betzdorf
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop optimization models and algorithms to enhance network path selection, traffic engineering, and self-optimization in satellite communication environments.
Job Technologies
Your role in the 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.
- Formuliere Optimierungsprobleme für die Auswahl von Routing-Pfaden, Traffic Engineering, Ressourcenallokation, Stauvermeidung und Service-Qualitätssicherung.
- 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.
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Our expectations of you
Education
- Advanced degree in Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, Data Science, or a related field, or equivalent professional experience.
Qualifications
- Starke Grundlagen in Optimierung, einschließlich konvexer Optimierung, Linearprogrammierung, Ganzzahlprogrammierung, kombinatorischer Optimierung, Heuristiken und Metaheuristiken.
- Starke Kenntnisse in Graphentheorie, Netzfluss, Routing-Algorithmen, stochastischen Prozessen, Warteschlangentheorie und Leistungsmodellierung.
- 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.
Experience
- 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 in transforming research prototypes into maintainable software components or operational decision-support tools.
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What we offer
- Willing to work 60% onsite from office.
- Reisen nach Bedarf zur Projektumsetzung.
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Benefits
Health, Fitness & Fun
Food & Drink
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
SES
As the world's leading provider of digital price tags, the SES-imagotag Group supports leading retailers worldwide in digitizing their processes. 200 retail chains in more than 60 countries trust our 370 specialists for their digital solution expertise.
Description
- Company Size
- 1-49 Employees
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication