• Lead the development and review of technical and logistical documentation for hull, machinery, and electrical shipboard systems and subsystems. • Develop system development plans, specifications, and requirements for undersea and surface ship design. • Prepare and deliver formal technical presentations for internal and external meetings, including Flag-level audiences. • Support machinery research, development, testing, and evaluation activities; provide technical support at meetings, testing, and demonstrations at Philadelphia and vendor facilities. • Roadmap and develop documentation for software models/tools supporting ship design. • Specify, research, develop, build, and execute specialized computing and simulation environments for design, simulation, and concept studies. • Collaborate with engineers, mathematicians, naval architects, and cyber leads to ensure technical and cybersecurity requirements are met. • Design, document, and present technical course material on machinery systems, digital engineering, modeling and simulation, and systems integration. • Document the ship design process for hull, machinery, and electrical systems. • Research and analyze existing ship systems (electrical, mechanical, control) to capture essential dynamics within modeling platforms (e.g., Cameo Systems Modeler, PhoenixModelCenter, BOXARR, InnoSlate). • Develop system model components for engineering studies of complex HM&E systems. • Provide engineering services supporting reliability engineering projects.

• Design, implement, and test-state-of-the-art robotics software in C/C++ to enable comfortable and safe behavior and control for Autonomous Vehicles • Lead and participate in team code quality activities including design and code reviews • Provide technical guidance to Technical Support Team on issue diagnosis and resolution • Coordinate with cross functional teams to develop software and system requirements for Autonomous Vehicle behavior and controls subsystems • Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle subsystems • Develop unit and simulation tests to validate vehicle performance across target operational domains • Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios • Diagnose and root-cause issues reported by commercial operations through the May Field Response process • Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data

• Develop and implement new features while maintaining software quality • Participate in Agile ceremonies and team activities • Contribute to documentation and knowledge sharing within the team • Participate in code reviews and follow engineering best practices • Stay updated on emerging technologies and tools • Investigate and resolve production and customer issues • Collaborate with cross-functional teams and stakeholders • Follow SDLC processes and security best practices • Ensure adherence to organizational risk and compliance guidelines • Perform other duties as assigned

• Oversee development and validation of cost data for multiple disciplines, ensuring consistency and accuracy. • Lead large-scale updates and enhancements to cost databases and assemblies. • Serve as a subject matter expert for construction methods, codes, and cost modeling. • Mentor engineers and associate engineers, providing guidance on methodology and quality standards. • Collaborate with product teams to align data development with customer needs and market trends. • Drive process improvements and contribute to strategic initiatives for data reliability and efficiency. • Lead Agile workstreams, facilitate backlog refinement, and ensure sprint goals align with product strategy. • Partner with the Product Owner to translate business needs into actionable tasks and provide technical insights for prioritization.