Design, develop, document, and test algorithms and applications that meet mission requirements Develop, implement, and optimize computational solutions, including AI/ML models, to support the mitigation of atmospheric impacts on FSOC Design and build data pipelines and analysis workflows for large datasets; deploy predictive models in production to support mission operations Collaborate with atmospheric scientists, systems and hardware engineers in planning, design, and development of atmospheric mitigation technologies. Meet with customers to understand requirements for mission success. Design and develop optimized computing algorithms and applications required to meet customers mission requirements Provide mentorship and guidance to other team members Work with junior engineers and atmospheric scientists to implement and validate algorithms Stay up-to-date with cutting-edge advancements in AI/ML Comfortable with requirements-analysis and stake-holder engagement. Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable. Solid communication skills (written, verbal, and visual) Ability to communicate data and engineering analysis regarding conclusions that were reached. Ability to create and present data reports to support investigations. Excellent attention to detail. Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques. Prioritization skills to manage workload and make sound decisions for assigned team's model development and data analysis activities. Ability to obtain and maintain a Top Secret (TS/SCI) clearance with Polygraph. US Citizenship is a requirement. A PhD in a physical or computational science with 7 or more years of experience. Experience applying AI/ML techniques to solve real-world problems Demonstrated use of High Performance Computing (HPC) Systems Demonstrated use of accelerated computing, numerical analysis, applied mathematics Demonstrated proficiency with Python, C++, CUDA Demonstrated proficiency with one or more machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) Demonstrated proficiency using libraries and toolkits including:

TensorFlow, PyTorch Experience with Git and version control Experience communicating technical insights through development of briefings and/or papers Experience with C, C++, Fortran software languages Experience with atmospheric science and modeling Experience with time series modeling, or probabilistic modeling including the use and application of deep neural networks Proven experience designing and building data pipelines and analysis workflows for large datasets Proven experience deploying predictive models in production to support mission operations Experience interfacing and presenting to executive audiences