Senior Systems Engineer, Decision Advantage

Anduril•Broomfield, CO
•Onsite

About The Position

Anduril is seeking a Senior Systems Engineer to join its Battlespace Awareness team in Broomfield, Colorado. The team develops tactical sensing and decision-making software for Anduril command and control products. The software must operate effectively, robustly, and safely across different compute hardware, connected sensors and effectors, supporting services, configurations, mission sets, and customer experiences. The role supports design, development, and validation of advanced algorithmic capabilities, including tracking, sensor and effector management, battlespace optimization, and threat forecasting. It bridges system design, requirements management, modeling and simulation, and verification and validation. The engineer will integrate emerging capabilities into products and system configurations, decompose requirements across teams, and establish clear measures of success despite ambiguity. The engineer will create test plans, acceptance criteria, and analysis tools; evaluate system performance using simulation and field data; verify customer requirements through data-driven analysis; and maintain artifacts that trace performance as systems evolve. The role owns systems end to end, including system laydown and performance assessment, and develops modeling and simulation frameworks to test capabilities in varied scenarios and inform continuous improvement. Up to 25% travel to customer sites is expected. Candidates must be authorized to work in the United States and eligible to obtain and maintain an active U.S. Secret security clearance.

Requirements

  • 8+ years of hardware and software systems engineering experience.
  • Degree in Engineering, Physics, Robotics, Mathematics, or a related field.
  • Demonstrated use of model-based systems engineering during a program lifecycle.
  • Experience with tools such as MATLAB and AFSIM.
  • Proficiency with programming languages such as Python for data parsing, modeling and simulation, data analysis, and visualization.
  • Skills in statistics, AI/ML, requirements, testing, and MBSE.
  • Demonstrated proficiency applying engineering standards to engineering processes or requirements.
  • Demonstrated experience collaborating across cross-functional teams.
  • Ability to clearly communicate complex technical findings to developers, system leads, and customers.
  • Comfort working with ambiguity, evolving priorities, and challenging problems.
  • Must be authorized to work in the United States.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.

Nice To Haves

  • Familiarity with Linux OS.
  • Familiarity with processes and constraints for real-time and safety-critical software.
  • Working knowledge of C/C++ or Rust; full-time coding is not required, but understanding is valuable.
  • Understanding of the full software development lifecycle.
  • Prior involvement in field exercises, test events, or experimentation campaigns.
  • Comfort obtaining data from software platforms using command-line tools.
  • Previous experience in a defense, aerospace, or naval environment.
  • Experience with robotics, autonomous systems, radar, optics, computer vision, wireless communication, software-defined radios, or networking.
  • Proficiency with Python and/or MATLAB for data parsing and data visualization.

Responsibilities

  • Support the design, development, and validation of algorithmic capabilities including tracking, sensor and effector management, battlespace optimization, and threat forecasting.
  • Integrate emerging capabilities into new products and system configurations.
  • Lead requirements decomposition across cross-functional teams and define success in ambiguous situations.
  • Develop test plans, acceptance criteria, and analysis tools to evaluate performance using simulation and collected field data.
  • Use data-driven analysis to verify customer requirements and create artifacts that trace system performance as it evolves.
  • Own systems end to end, identifying and resolving problems between system components and teams to achieve desired outcomes.
  • Develop and implement modeling and simulation frameworks to validate algorithmic performance, test system capabilities in varied scenarios, and provide data-driven insights for improvement.
  • Scope the ideal system laydown, scrutinize system performance, and ensure deployed systems meet customer requirements.

Benefits

  • Highly competitive equity grants are included in the majority of full-time offers.
  • Top-tier benefits for full-time employees, available at little to no cost to employees.
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