Communications Network Orchestration & Optimization Engineer (m/w/d)
Core
Designing the next generation of tactical communication networks through intelligent algorithms and AI-driven procedures for orchestration, optimization, and automation of hybrid networks.
Role type
Senior IC machine-learning engineer (communications networks)
Builds
Intelligent algorithms and frameworks for hybrid communication network orchestration and optimization
Domain
Defense / Telecommunications / AI for Communications
Deliverable
production ML models
Required skills
Python, MATLAB, C++, linear/nonlinear optimization, combinatorial optimization, operations research, TCP/IP, routing, QoS, 3GPP, SDN, SATCOM, 5G/6G, MANET, FANET, beam management, beam planning, antenna systems, high-frequency technology, machine learning, reinforcement learning, mathematical modeling, graph theory
Preferred skills
PhD in Electrical Engineering, Telecommunications, Computer Science, Physics, or Mathematics
Technologies
Python, MATLAB, C++, TCP/IP, 3GPP, SATCOM, 5G/6G, SDN
Responsibilities
Conceptualize, develop, and evaluate intelligent algorithms and AI procedures for hybrid communication network orchestration; Optimize routing, resource, and capacity allocation procedures for latency, throughput, availability, and resilience; Develop algorithms for beam management, beam planning, and antenna/radio resource management; Model traffic, demand, and network behavior to optimize future communication networks; Develop and validate simulation and optimization frameworks
Seniority
Senior, hands-on IC (via careerplan.io/jobs/15939-BB-633793-7878-1939-S-communications-network-orchestration-optimization-engineer-mwd-at-rheinmetall-ag)
