Senior Systems Engineer, Battlespace

Anduril Anduril · Defense · Broomfield, CO · Mission Systems : Battlespace Awareness Engineering

The Senior Systems Engineer will support the design, development, and validation of advanced algorithmic capabilities for Anduril's command and control (C2) products, focusing on tactical sense- and decision-making software. This role involves bridging system design, requirements management, modeling and simulation (M&S), and verification & validation (V&V) activities, integrating emerging capabilities into new products, leading requirements decomposition, developing test plans, and using data-driven analysis to verify customer requirements. The engineer will own systems end-to-end, identifying and solving problems between system seams.

What you'd actually do

  1. You will develop and implement sophisticated modeling and simulation frameworks to validate algorithmic performance, test system capabilities under various scenarios, and provide data-driven insights for continuous improvement
  2. Lead requirements decomposition across cross-functional teams, defining success in the face of ambiguity.
  3. Responsible for scoping ideal system laydown, scrutinizing system performance, and ensuring the deployed system is meeting customer requirements.
  4. Own systems end to end with the ability to identify and solve problems between the seams and push through to reach an ultimate outcome.

Skills

Required

  • hardware and software systems engineering experience
  • model based systems engineering
  • Python for data parsing, modeling & simulation, data analysis, and visualization
  • Statistics
  • AI/ML
  • Requirements
  • Testing
  • MBSE
  • engineering standards into engineering processes or requirements
  • collaborating across cross-functional teams
  • communicate complex technical findings clearly
  • working with ambiguity, evolving priorities, and challenging problems

Nice to have

  • Linux OS
  • real-time and safety-critical software
  • C/C++ or Rust
  • full software development lifecycle
  • field exercises, test events, experimentation campaigns
  • obtaining data from software platforms using command-line tools
  • defense, aerospace, or naval environment
  • robotics
  • autonomous systems
  • radar
  • optics
  • computer vision
  • wireless communication
  • software defined radios
  • networking
  • MATLAB for data parsing and data visualization

What the JD emphasized

  • mission-critical applications
  • real-world impact of our deployed solutions
  • advanced algorithmic capabilities
  • customer requirements

Other signals

  • AI-powered operating system
  • advanced autonomy, AI, computer vision, sensor fusion
  • advanced algorithmic capabilities including tracking, sensor/effector management, battlespace optimization, and threat forecasting
  • AI/ML