Mission Engineer

Job Description:

We are seeking a Mission Engineer to own the mission representation of various programs, applying systems engineering, modeling, simulation, and operational analysis techniques to evaluate how Shield AI’s autonomous systems enable desired mission effects. This role is pivotal in analyzing mission architectures, system interactions, capability gaps, and performance drivers across multiple platforms and domains. You will work closely with engineering, product development, operational analysis, and defense stakeholders to translate mission needs into traceable autonomy requirements that inform design trade-offs, system requirements, technology priorities, and operational concepts.

What you'll do:

• Employ the Mission Engineering process to develop pertinent analyses and assess how current and emerging autonomous capabilities enable  desired mission effects in representative military scenarios.
• Utilize systems engineering tools (e.g., Cameo, Sysml 2.0) alongside modeling and simulation tools (AFSIM, STK, MATLAB, Python) to develop mission models, architectures, analytical frameworks, requirements, and traceability artifacts.
• Development of Mission Engineering artifacts such as mission threads, concepts of operations (CONOPS), and mission architectures for new AI-driven autonomous capabilities.
• Work closely with engineering teams and product managers to translate mission needs and operational insights into system requirements, design decisions, and capability improvements.
• Define trade studies and sensitivity analyses to identify key mission drivers, capability gaps, system dependencies, and performance thresholds under varying operational conditions and threats.
• Collaborate with DoD stakeholders, operators, and warfighters to characterize missions, define measures of effectiveness and performance, establish the data, modeling, and analysis required to assess them, and align system capabilities with operational needs.  
• Develop and present technical reports, mission architectures, trade studies, and recommendations to senior leadership, customers, and government agencies.
• Leverage modern compute and development best practices (e.g., scalable cloud/HPC workflows, containerization, version control, CI/CD, and automated testing) to build, run, and iterate mission models and analysis pipelines quickly and reliably.