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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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minimum of 10 years of relevant experience in the design, development, and management of large-scale IT and software architectures, systems integration, maintainability, and evolution with a strong
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and understanding of ML and AI architectures for hardware and software implementation Understanding of FDIR concepts, as applied in on-board space systems Understanding of avionics and onboard data
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education. Specifically, the tasks are: Design, implement and validate a tool to collect and analyze learning demands of learners. Design, implement and validate a modular software architecture that can
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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to obtain one; Knowledge of designing and managing Internal Developer Platforms or cloud-native architectures; Experience with infrastructure-as-code tools such as Terraform or Ansible, and a declarative
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new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab
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spacecraft requirements and requirements documents; support of mission architecture trades; developing and maintaining study tools in your area of responsibility, coordinating with the Software and Artificial
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reviews; Actively contribute to research and development by supporting system architecture definition and specification in the system IVQ domain. Technical competencies Proven experience in the field
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architecture); Advanced SQL skills for handling complex queries; Experience with data governance, process design and automation; Microsoft Power BI Data Analyst Certification, or you are willing to obtain one