Anduril Industries
Systems Engineer, Battlespace
About this role
Anduril Industries seeks a Systems Engineer to develop and validate advanced command and control software for military battlespace awareness systems. You'll bridge system design, requirements management, and verification activities while integrating emerging capabilities across hardware, sensors, and software platforms.
What you'll do
- Design, develop, and validate algorithmic capabilities including tracking, sensor management, and threat forecasting
- Lead requirements decomposition across cross-functional teams and define success criteria
- Develop modeling and simulation frameworks to validate performance under various scenarios
- Create test plans, acceptance criteria, and analysis tools to evaluate system performance
- Own end-to-end systems integration, identifying and solving problems across components
- Use data-driven analysis to verify customer requirements and trace performance evolution
What they're looking for
- Systems engineering (2+ years hardware and software)
- Model-based systems engineering (MBSE) tools: JAMA, Cameo, Matlab, Simulink, AFSIM
- Python programming for data analysis, modeling, and simulation
- Statistics and AI/ML fundamentals
- Requirements management and verification/validation
- Engineering standards and processes
- Cross-functional team collaboration
- Technical communication to diverse audiences
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Can you walk us through a project where you used model-based systems engineering (MBSE) tools like JAMA, Cameo, or Matlab/Simulink? How did you apply them to manage requirements across the system lifecycle?
- Describe your experience developing modeling and simulation frameworks to validate algorithmic performance. What metrics did you track and how did you use the results to drive design decisions?