Systems Engineer, Decision Advantage

About the Team

At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. We aim to achieve groundbreaking results in path planning, route optimization, and autonomous mission execution at the command and control layer.

About the Job

We are looking to hire a Systems Engineer to join our rapidly growing team in Waltham, MA. The Battlespace Awareness team develops tactical sense- and decision-making software that provides advanced capabilities for Anduril's command and control (C2) products. This software must work with various combinations of compute hardware, connected sensor/effector hardware, and supporting software services. We need systems engineers who are capable of internalizing the nuances of these complex systems, and ensuring the technical success of an end-to-end solution.

What You'll Do

• Support the design, development, and validation of advanced algorithmic capabilities including tracking, sensor/effector management, battlespace optimization, and threat forecasting.
• 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.
• Lead requirements decomposition across cross-functional teams, defining success in the face of ambiguity.
• Scope ideal system laydown, scrutinize system performance, and ensure the deployed system meets customer requirements.
• 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.

Required Qualifications

• 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 (MBSE) in program lifecycle.
• Experience with tools such as MATLAB, 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.
• Demonstrated 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.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred 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.
• Previous experience in a defense, aerospace, or naval environment.
• 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.

Application Note

Transcripts are requested as part of the early application process to evaluate coursework and academic background. If you choose not to share transcripts, detailed information regarding your academic performance in relevant courses must be provided. Unofficial transcripts are acceptable.