Create and manage end-to-end ML pipelines: collect interaction datasets from physical robots, perform unsupervised pre-training on large-scale data, and deploy models on edge devices for low-latency inference.
Develop applications for customers by connecting AI models directly to our proprietary SDK and control layer, optimizing for production environments and ensuring seamless integration with robotic hardware.
Optimize models for scalability, reliability, and safety in dynamic settings, using techniques like quantization, distributed training, or federated learning to handle real-time physics simulations.
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Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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The engineer has a basic technical orientation and acts in the role of the Cell Member.
He has an agile and digital mindset that he always adapts to the current requirements using the appropriate development options.
The engineer is used where his knowledge and experience is needed. It is therefore flexible in terms of use in different cells and chapters, even across cluster boundaries.
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Establish and govern drawing standards, including templates, layouts, metadata, annotations, and revision control, ensuring consistency and compliance across projects.
AI Engineering & Intelligent Automation
Design, develop, and deploy practical AI-enabled solutions to support engineering and manufacturing processes.
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Monitor and support progress for projects with low to medium levels of complexity and ensure appropriate resource allocations and portfolio prioritization.
Implement, monitor and track audit control mechanisms within area of scope to track performance and provide actionable solutions that contribute to improvements.
Support more senior team members to assess instrumentation and automation engineering development and application opportunities and further dissemination across common practice areas.
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