Software Engineer - Modeling & Simulation

About the role

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.