Software Engineer 3 / 4

Develop AI-driven tools and algorithms to automate repetitive engineering tasks, enhance workflow efficiency, and solve complex problems in rocket motor design and analysis. Design, implement, and maintain modeling and simulation software to support advanced engineering analysis. Ensure high-quality software development and deployment practices, including testing, documentation, and troubleshooting, to deliver robust tools that meet user needs. Collaborate with engineers and subject matter experts to translate technical needs into functional software tools and AI capabilities. Document software functionality, processes, and methodologies to ensure effective knowledge sharing and tool usability across teams. Provide technical support and guidance to end-users, ensuring tools are properly integrated into their workflows. Contribute to continuous improvement efforts by assessing current software and practices, recommending upgrades, and pushing for efficiency in engineering processes. Other duties as assigned Working at Northrop Grumman is more than just a paycheck. Bachelor's degree (STEM) with 5 years of professional experience - OR - Master's degree with 3 years of professional experience - OR - PhD with 1 year of professional experience. Bachelor's degree (STEM) with 8 years of professional experience - OR - Master's degree with 6 years of professional experience - OR - PhD with 4 years of professional experience. Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance Extensive experience designing and implementing AI and machine learning solutions, particularly for engineering applications. Advanced programming skills and ability to architect complex computational platforms or tools that incorporate AI. Demonstrated ability to lead the development of engineering software tools. Comprehensive understanding of engineering workflows, data flow optimization, and software development lifecycles. Proven industry experience integrating AI-driven technologies with engineering workflows. Strong background in identifying workflow inefficiencies and implementing software tools to streamline processes. Familiarity with multidisciplinary workflows, including data-driven engineering analysis and optimization. Experience supporting internal tool development in highly technical industries (e.g., aerospace, defense, energy). Demonstrated ability to lead or collaborate on AI/engineering software projects involving diverse stakeholders.