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and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and
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languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing
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• Demonstrated experience implementing complex algorithms for autonomous vehicles • Demonstrated experience working in a DoD-funded research environment • Demonstrated experience working with DevSecOps
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technology with robotic platforms to meet project-specific requirements. • Design and implement advanced control algorithms for autonomous operation. • Collaborate on robot simulation and hardware-in-the-loop
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algorithms for OpenUxAS, e.g. path planning algorithms. Since OpenUxAS is implemented as a service-oriented architecture, we also plan to develop methods to compositionally verify that collections of services
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multispectral data, running necessary algorithms, validating outputs, and analyzing results. Candidates can familiarize themselves with the previous version of the model using the open-access code https
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languages; to develop and test signal processing algorithms from concept to implementation; to rapidly integrate, test, and demonstrate hardware and software systems into a functional whole. A current United
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the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive