System Engineering Integration & Test Engineer

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

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.

Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur

C. Clarke's vision — "Any sufficiently advanced technology is indistinguishable from magic" —

Our work involves cutting-edge algorithms and high-performance software for multi-target tracking, data fusion, battle management, autonomous robotic control, and mission planning. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.

We are looking to hire a Systems Engineer to join our rapidly growing team in Broomfield, CO and 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. Proving that software is robust to variations in scenario, configuration, and mission set is a responsibility this team owns end-to-end.

You'll be hands-on across that whole pipeline: running our software through simulated scenarios, building performance analyses, red-teaming through scenario design, and creating the tooling so that engineers and customers understand the behavior. This is a build-measure-analyze role. If you like writing software that turns messy, real-world data into a clear answer, you'll have plenty to do.

• Design, run and analyze scenarios. Exercise our software across simulated and real-world data sets, then build the Python analysis that turns the output into performance results people can act on.
• Create and implement the metrics. Help define and then instrument the measures of system success. Track them as the system evolves to inform engineering decisions and product roadmap.
• Support customer demonstrations. Build and configure simulation scenarios to showcase system performance in customer-facing demos.
• Explain system behavior. Characterize the behavior of individual system components and emergent behaviors that arise from interactions of multiple systems.
• Build the tools. Develop new data analysis and observability tooling, often from a blank page, and help automate the system through CI/CD infrastructure.
• Work across the seams. Partner with algorithm and software engineers to troubleshoot and optimize across the system.

• 5+ years of software engineering or software systems integration and test experience. Degree in Engineering, Physics, Robotics, Mathematics, or a related field.
• Strong Python skills for data parsing, analysis, and visualization
• Ability to read and reason about C++ or Rust (writing it full-time is not required)
• Comfortable developing new data analysis and observability tools from the ground up
• Exposure to kinematics modeling and simulation frameworks (AFSIM or comparable)
• Skilled in Statistical analysis techniques such as Monte Carlo techniques
• Demonstrated experience developing…