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Besides the minimal requirements for this job position, your profile is a good fit to our company if you have the following values:\nHigh flexibility and adaptability.\nTranquility to work under pressure.\nAppetite for learning and problem solving.\nCritical thinking.\nAbility to communicate effectively.\nKeen to collaboration.\nProper time management.\nHighly autodidact, independent and proactive.\nResponsibilities:\nActively participate in the planning and execution of the development of the Embedded Software in the 10 Million cores SpiNNcloud Machine.\nExplore energy and performance driven optimizations to machine learning algorithms.\nDevelop hardware-aware optimizations for cutting edge ML algorithms.\nBuild a robust and consistent compiler infrastructure for SpiNNcloud hardware.\nDesign and implementation of benchmarks involving different metrics (e.g., Latency, Energy Efficiency, Energy-delay product, etc.).\nContribute to the development and documentation of cool demonstrators.\nMinimum Requirements:\nExperience with Tiny Machine Learning.\nStrong programming skills and substantial development experience in Python, and C, involving data structures, graphs, and object-oriented programming.\nSolid understanding of Machine Learning algorithms.\nExperience with embedded systems involving multicore environments and sensors.\nRequired expertise in development tools (e.g., git or svn) for revision control.\nBSc, MSc or Dipl.-Ing. in Computer Science, Electrical Engineering, Computer Engineering, or any other related computationally intensive field.\nAdded value:\nActive contributor in Github or any other hosting for software development with version control.\nExperience with DevOps and continuous integration & delivery tools (e.g., Gitlab).\nUnderstanding of Event-based Machine Learning or Neuromorphic algorithms.\nExperience working with Neuromorphic hardware (e.g., Loihi or SpiNNaker).\nDr.-Ing., or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematical sciences, or any other related computationally intensive field.\nExperience developing Computer vision applications with real-time sensor streams.\nWe offer a highly competitive salary with reallocation benefits in a flexible and inclusive work environment. 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