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Field
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, testing, verifying, documenting, and integrating code as part of the mission software team.; Participate in documentation, integration, and testing of elements of mission software alongside personnel
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topics include AI-assisted software development, intelligent software architecture and design, automated testing and verification, code generation and repair, DevOps and deployment automation, software
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model selection and comparison. Experience contributing to open-source scientific software, including version control, testing, continuous integration, documentation, and code review. Knowledge of
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testing stations while they are being built. Develop the software layer that turns experimental plans from the Bayesian optimization engine into coordinated instrument actions, tracks their execution
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testing stations while they are being built. Develop the software layer that turns experimental plans from the Bayesian optimization engine into coordinated instrument actions, tracks their execution
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control and visualize systems Assisting with CI/CD tooling for software testing and deployment Assisting with software architecture planning Assisting with electrical and mechanical integration of various
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Landolt Mission team is responsible for developing and executing a NASA space-based mission through coordinated work across science, payload, spacecraft bus, software, systems engineering, integration and
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development workflows, tools, and practices (e.g., IDEs, CI/CD, testing, documentation). Publications in highly ranked international conferences or journals. Experience in empirical software engineering, AI
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Type: Fixed Term Job Purpose The primary responsibility of this role is to lead the research and technical development of a high-frequency ultrasound imaging platform, including hardware-software
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programming skills in C++ and/or Python, with experience developing software using Robot Operating System (ROS/ROS2). Experience deploying and testing algorithms on physical robotic platforms. Strong