Senior Engineer, Resource Optimization & Algorithm, IRIS2

Senior Engineer, Resource Optimization & Algorithm, IRIS2

PROGRAMME description

IRIS² is the new European Union secure satellite communications constellation. This project is the European Union's answer to the pressing challenges of tomorrow to provide secure connectivity services and enhanced communication capacities to the EU and its Member States as well as to governmental users, private companies and European citizens while ensuring high-speed internet broadband to cope with connectivity dead zones.

SES – together with other consortium partners and core members – was selected by European Commission to build and to operate the IRIS² multi-orbit satellite constellation.

The IRIS² team enters the next project phase and there is a strong need for support for all the activities around service provisioning and products that the system can offer in the future.

Role description summary

Work requirements

The Resource Optimization and Algorithm Engineer is responsible for designing, modelling, simulating and validating optimization algorithms for radio, transport, feeder-link, inter-satellite link and gateway resource allocation in a 5G-NTN multi-orbit satellite system. The role supports MCC/SMO orchestration by developing algorithms for capacity planning, routing, scheduling, congestion avoidance, contingency handling, handover support and SLA-driven service continuity. The engineer combines classical and advanced optimization techniques with 5G-NTN system knowledge to support practical resource orchestration decisions across RAN, satellite payload, feeder links, ISLs and gateways.

General work requirements

• Design, model and validate optimization algorithms for radio, transport, gateway, feeder-link and ISL resource allocation in 5G-NTN systems.
• Develop resource allocation, routing, scheduling, capacity planning, congestion avoidance and contingency-handling algorithms for MCC/SMO orchestration use cases.
• Model RAN resources, beams/cells, feeder links, ISLs, gateways, satellite visibility constraints, QoS, network slicing, traffic prioritization and SLA continuity requirements.
• Simulate algorithm performance under nominal and degraded scenarios, including mobility, handover support, gateway congestion, ISL constraints, feeder-link limitations and traffic demand variations.
• Provide algorithmic input to architecture studies, trade-off analyses, RFP/RFQ technical content, vendor evaluation, integration planning and system performance assessments.

Qualifications Background and Experience

Qualification Basis

• Master's degree in engineering or science, preferably in Telecommunications Engineering, Applied Mathematics, Computer Science, Operations Research, Data Science, or a related technical discipline.
• Experience in telecom, satellite communications, aerospace, network optimization, operations research, or complex system modelling required; for Senior Engineer, 10+ years of relevant industry experience is required
• Strong knowledge of optimization algorithms, resource allocation, routing, scheduling, capacity planning, simulation, data analysis and performance modelling.
• Solid understanding of 5G NTN, MCC/SMO orchestration, RAN resources, beams/cells, feeder links, ISLs, gateways, satellite visibility constraints, QoS, slicing and traffic prioritization.

Essential experience

• Hands-on experience designing and validating optimization algorithms for radio, transport, gateway, feeder-link, ISL or multi-domain network resource allocation.
• Strong knowledge of classical and advanced optimization techniques, including graph algorithms, linear programming, mixed-integer programming, constraint programming, heuristics, metaheuristics and multi-objective optimization.
• Experience with traffic modelling, resource modelling, capacity planning, performance simulation, sensitivity analysis and scenario-based evaluation of algorithm behaviour.
• Ability to apply optimization methods to 5G-NTN orchestration problems, including beam/cell resource allocation, feeder-link sharing, ISL routing, gateway selection, congestion avoidance and service continuity.
• Experience translating system requirements, QoS objectives, slicing constraints, operational policies and SLA targets into mathematical models, optimization constraints and measurable algorithm KPIs.

Highly desirable experience (several of the following):

• Experience with simulation and modelling tools such as Python, MATLAB, Julia, C++, network simulators, optimization libraries, graph libraries, data analysis frameworks or custom algorithm prototyping environments.
• Knowledge of 5G RAN and Core performance concepts, 3GPP NTN principles, O-RAN/SMO orchestration concepts, satellite payload constraints, feeder-link constraints, ISL routing and gateway resource management.
• Experience supporting trade-off studies, architecture decisions, technical evaluations, RFP/RFQ preparation, vendor challenge sessions and evidence-based comparison of algorithmic approaches.
• Experience with system engineering methods, requirement traceability, model validation, KPI definition, test scenario definition, integration planning and risk assessment for complex algorithms.

Proven work attitude:

Other key requirements / comments

• Management of technology development, work with cross discipline teams (MCC architects, SMO/RAN experts, SDN-C teams, gateway teams, satellite payload engineers, algorithm specialists, data scientists, system engineers, procurement, sales, business experts, etc.)
• Research and Development project management experience, including algorithm roadmap definition, prototype planning, simulation campaign management, validation strategy and technical risk tracking
• Communication skills, ability to explain complex optimization, resource allocation, 5G-NTN, routing, scheduling and orchestration concepts to non-technical stakeholders
• Excellent written and verbal communication skills, including the ability to write clear algorithm specifications, modelling assumptions, simulation reports, trade-off studies, RFP/RFQ technical inputs and evaluation notes
• Commitment to deadlines and willingness to meet tight development, simulation, architecture, procurement and integration schedules
• The candidate must be eligible for a “SECRET” security clearance, in accordance with the national regulations as well as EU/ESA/NATO equivalents
• Willing to work 60% onsite from office
• Travel as required for project realization purposes

SES and its Affiliated Companies are committed to providing fair and equal employment opportunities to all. We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.

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