AI/ML experienced System Architect

AI/ML experienced Systems Architect
At Huawei Technologies Sweden (HWSE) Wireless System Labs we are working with the next generation 5G product concepts, features and architecture. AI and Machine learning will be major enablers to automate and optimize the future networks. We are specifically working on the RAN architecture support for efficient Radio and infrastructure Resource Management. This includes definition and validation of various architecture views of the AI/ML support system using input from collaborating projects and academic research. The results are used as input to products design and standardization.
We are looking for a person that has an interest and experience in the AI/ML area and can study and drive research topics individually. You will work as member of a dynamic systems architect team and will have great opportunities to influence future generations of Mobile systems.
 Responsibilities
Requirement and Use Case analysis
AI/ML system architecture design
Architecture validation

Required Qualifications
Strong interest and background in one or more of the following areas is required:
 Understanding of symbolic artificial intelligence, logical reasoning
Knowledge graphs, knowledge extraction and knowledge representation
Automated (AI) planning
Reinforcement learning 
Trustworthy, explainable and robust AI systems 
Multi-agent systems 
Model-based AI systems, Modeling and analysis of system behavior

Knowledge about processing architecture, memory systems, and algorithmic optimizations for performance and efficiency is desired
Knowledge about performance optimizations of machine learning on different types of processor architectures and memory hierarchies (learning as well as inference) is desired 
Demonstrated implementation/programming skills and experience with open source software stacks
Preferred Qualifications
Knowledge and interest in the following areas is appreciated: 
Deep Neural Networks
Transfer and Federated Learning

Strong mobile/wireless communication domain knowledge
Demonstrated ability to develop novel and innovative ideas, generate patents, publish results at conferences and in journals is desired
Ability to think unconventionally to derive creative and innovative solutions
Prior experience in a research organizations/academia is desired
Fresh PhD degree (preferred) with thesis in one of the areas above