Industrial IoT - AI Operationalization Specialist

Job Description

Siemens Corporate Technology is part of Siemens AG and is driving forward the further development of the core technologies of our products and systems. Together with our partners from universities and research institutions, we identify new future-oriented technologies and translate them into technology demonstrators and laboratory samples as the basis for product development.
The IoT Research Group has the responsibility to develop new solutions for deployment of advanced algorithms and processes in an Edge Computing environment. The main activities are related to AI Operationalization, Ultra Low Power Algorithm Deployment and Distributed Computing Optimization.

Your new tasks:

Define high performance AI deployment scenarios targeting on-premise industrial setups
Define High performance architectures focused on stability, scalability etc.
Implement Edge Computing proof-of-concepts (PoCs); e.g. field sensor processing
Analyze, monitor, and optimize performance of low HW resource systems
Write landscaping reports on technologies, tools, methodologies in context of Edge Computing incl. recommendations (when to use what)
Define, develop, and perform performance and scalability benchmarks leveraging / building tools created for this purpose


BS in Computer Science or a related field is required. Masters in Computer Science or related field is preferred
Experience with container technologies, e.g. Docker, Kubernetes
Comfortable in both Unix / Linux and Windows environments
Knowledge of AI frameworks e.g. Keras, TensorFlow, Caffe
OOP experience in C++
Ability to switch between programming (C#) or scripting (Python) languages
Ability to find root-causes for tough performance / scalability problems
Fluent communication in English

Nice to have:
Experience with pub-sub communication, e.g. RabbitMQ
Performance profiling knowledge
Architecture know-how
Sub-project management

Job ID: 109033

Organization: Internet of Things

Company: Siemens S.R.L.

Experience Level: Experienced Professional

Job Type: Full-time

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