
location_onMcClintock Way, Costa Mesa, Orange County, California, 92626, United States
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 real-time, 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.
We are seeking a Modeling and Simulation Engineer to develop and validate software tools for analyzing sensor and vehicle configurations in autonomous systems. This role is critical in bridging simulation and physical deployment to optimize sensor and vehicle configurations. You will create accurate models of sensors and vehicles to evaluate technical capabilities and ensure simulations are representative of real-world hardware.
This position offers a unique opportunity to shape the future of autonomous systems. Your work will ensure our sensor and vehicle configurations are optimized for mission-critical applications, driving innovation in robotics and autonomous technology. You will collaborate closely with perception, autonomy, and hardware teams to ensure simulation results directly inform real-world designs, continuously refining models based on feedback from physical testing and deployed systems.
Work model: On-site
McClintock Way, Costa Mesa, Orange County, California, 92626, United States
Costa Mesa, California
Skills: C++, Python, Unreal Engine, Machine Learning, Ai, Computer Vision, Sensor Fusion, Networking, Li Dar, Matplotlib.
Education: Bachelor's in Robotics, Computer Science, Electrical Engineering, or related field required; Master's in Robotics, Computer Science, Electrical Engineering, or related field required; PhD in Robotics, Computer Science, Electrical Engineering, or related field required.
Hands-on experience with physical sensors and understanding of their operational characteristics. Knowledge of optimization algorithms for sensor placement or system design. Familiarity with AI/ML techniques for improving simulation fidelity or analyzing sensor data. Experience with tools like Matplotlib, Plotly, or 3D visualization libraries. Understanding of hardware constraints and system-level trade-offs in sensor integration. Active U.S. Secret clearance.
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