Software Engineer - Modeling & Simulation

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. About the Role 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 involves creating accurate models of sensors and vehicles to evaluate technical capabilities and ensure simulations are representative of real-world hardware. The ideal candidate will have experience in sensor modeling, simulation frameworks, and building software tools for data visualization and analysis. This role is critical in bridging simulation and physical deployment to optimize sensor and vehicle configurations. What You’ll Do Sensor and Vehicle Modeling: Develop accurate models of sensors (e.g., LiDAR, cameras, IMUs) and vehicles to simulate performance under various configurations. Simulation Validation: Ensure simulated sensors and platforms closely match physical hardware performance in real-world conditions. Software Tooling: Build and maintain software tools for visualizing, analyzing, and optimizing sensor and vehicle configurations. Performance Analysis: Conduct technical evaluations of sensor configurations to assess range, accuracy, and other performance metrics. Optimization: Explore trade-offs in sensor placement, platform design, and environmental factors to maximize system performance. Cross-Functional Collaboration: Work closely with perception, autonomy, and hardware teams to ensure simulation results inform real-world designs. Data Visualization: Develop intuitive visualization tools to present complex simulation results to technical and non-technical stakeholders. Iterative Improvement: Continuously refine models and tools based on feedback from physical testing and deployed systems. Required Qualifications Education: Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field. Sensor Modeling Experience: Proven experience modeling sensors like LiDAR, cameras, IMUs, and GPS in simulation. Simulation Tools: Proficiency with simulation frameworks such as Unreal Engine . Software Development: Strong programming skills in C++ and Python for building simulation tools and analysis pipelines. Data Visualization: Experience creating tools or dashboards for visualizing simulation results. Physics-Based Modeling: Familiarity with physics-based simulation techniques for accurate environmental and sensor modeling. Systems Integration: Ability to validate and align simulation models with real-world hardware and systems. Analytical Skills: Strong ability to analyze and interpret simulation data for performance evaluation. Preferred Qualifications Real-World Hardware Experience: Hands-on experience with physical sensors and understanding of their operational characteristics. Optimization Techniques: Knowledge of optimization algorithms for sensor placement or system design. Machine Learning: Familiarity with AI/ML techniques for improving simulation fidelity or analyzing sensor data. Advanced Visualization: Experience with tools like Matplotlib, Plotly, or 3D visualization libraries . Embedded Systems: Understanding of hardware constraints and system-level trade-offs in sensor integration. Security Clearance: Active U.S. Sec ... (truncated, view full listing at source)