Anduril Industries
Systems Engineer, Battlespace
About this role
Anduril Industries seeks a Systems Engineer to support the design and validation of advanced battlespace awareness and command-control software. You'll bridge system design, requirements management, modeling/simulation, and verification activities while ensuring algorithmic capabilities integrate effectively across diverse hardware and customer configurations.
What you'll do
- Develop modeling and simulation frameworks to validate algorithmic performance and provide data-driven insights
- Lead requirements decomposition across cross-functional teams and define success criteria amid ambiguity
- Own end-to-end system performance, scoping ideal configurations and ensuring customer requirements are met
- Develop test plans, acceptance criteria, and analysis tools using simulation and field data
- Integrate emerging capabilities into new products and system configurations
- Identify and solve cross-functional problems to achieve desired outcomes
What they're looking for
- Systems engineering and MBSE tools (JAMA, Cameo, Matlab, Simulink, AFSIM)
- Python programming for data analysis, modeling, and visualization
- Statistics and AI/ML fundamentals
- Requirements management and testing methodologies
- Technical communication with diverse stakeholders
- Cross-functional collaboration
- Engineering standards application
- Problem-solving across system boundaries
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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
- Walk us through a time you used model-based systems engineering (MBSE) tools like JAMA, Cameo, or Matlab/Simulink to decompose requirements across a cross-functional team. How did you handle competing priorities?
- Describe your experience developing modeling and simulation frameworks to validate algorithmic performance. What metrics did you use to assess success?