Lead Systems Engineer, Battlespace

About the role

The Systems Engineer will support the design, development, and validation of advanced algorithmic capabilities including tracking, sensor/effector management, battlespace optimization, and threat forecasting. This role bridges system design, requirements management, modeling and simulation (M&S), and verification & validation (V&V) activities. They will integrate emerging capabilities into new products and system configurations, lead requirements decomposition across cross-functional teams, define success in the face of ambiguity, develop test plans, acceptance criteria, and analysis tools to evaluate system performance using both simulation and collected field data, and use data-driven analysis to verify customer requirements are met.

Responsibilities

• Support the design, development, and validation of advanced algorithmic capabilities including tracking, sensor/effector management, battlespace optimization, and threat forecasting.
• Bridge system design, requirements management, modeling and simulation (M&S), and verification & validation (V&V) activities.
• Integrate emerging capabilities into new products and system configurations.
• Lead requirements decomposition across cross-functional teams, defining success in the face of ambiguity.
• Develop test plans, acceptance criteria, and analysis tools to evaluate system performance using both simulation and collected field data.
• Use data-driven analysis to verify customer requirements are met, and create artifacts to trace performance as the system evolves.
• Own systems end-to-end, bringing an ability to identify and solve problems between the seams and push through to reach an ultimate desired outcome.
• 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.

Requirements

• 5+ 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 in program lifecycle.
• Experience with tools such as: JAMA, Cameo, Matlab, Simulink, AFSIM.
• Proficiency with programming languages such as Python for data parsing, modeling & simulation, data analysis, and visualization.
• Skilled in Statistics, AI/ML, Requirements, Testing, MBSE.
• Demonstrated proficiency in the application of engineering standards into engineering processes or requirements.
• Experience collaborating across cross-functional teams.
• Ability to communicate complex technical findings clearly to developers, system leads, and customers.
• Comfortable working with ambiguity, evolving priorities, and challenging problems.
• Must be authorized to work in the United States.
• Up to 25% travel to customer sites.

Qualifications

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

Benefits

Highest competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

• Comprehensive, competitive benefits package (available at little to no cost to employees).
• Health, recovery, and whatever comes next.

Pay

$165,000—$218,000 USD

Schedule

Full-time