Staff System Modeling Engineer, Warfighter Systems

Anduril Industries • Mountain View, CA

19h • Onsite

About The Position

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Warfighter Systems division pioneers mixed reality (MR) technologies for enhanced situational awareness, training, and operational superiority, primarily through the EagleEye augmented reality system. This role is critical for designing, developing, and validating sophisticated models for complex electro-mechanical systems, including sensors, cameras, and displays, using first-principles physics, empirical data, and advanced mathematical techniques. The goal is to create high-fidelity, predictive models to accelerate product development, improve system performance, and ensure robust operation across the entire product lifecycle.

Requirements

• 9+ years of experience in system modeling, simulation, and analysis, particularly with electro-mechanical systems.
• Demonstrated experience in developing models for at least two of the following: Sensors (IMUs, Lidars, Radars, Ultrasonic sensors, microphones, etc.), Cameras (Optical models, image processing pipeline models, distortion, noise, dynamic range, rolling shutter effects), Display (See/pass-through near eye display architectures, optical modeling, validations, & human perception).
• Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
• Proficiency in primary modeling and simulation tools such as MATLAB/Simulink (Simscape a plus), Python (SciPy, NumPy, Pandas), or C/C++.
• Experience with model validation against experimental data and statistical analysis techniques.
• Excellent problem-solving skills, with an ability to apply first principles to complex engineering challenges.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Strong technical communication skills to collaborate effectively with cross-functional teams.
• U.S. Person Status: Due to government contract requirements, candidates must be a U.S. Person (U.S. Citizen or Green Card holder).
• Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, Physics, or a related quantitative field.

Nice To Haves

• Ph.D. in a relevant engineering or scientific discipline.
• Familiarity with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) testing methodologies and platforms (e.g., dSPACE, National Instruments).
• Knowledge of advanced control techniques (e.g., adaptive control, optimal control, robust control) and estimation algorithms (e.g., Kalman filters, particle filters).
• Experience with machine learning techniques for model identification, surrogate modeling, or data-driven predictions.
• Exposure to systems engineering processes, requirements management, and configuration control.

Responsibilities

• Develop mathematical and behavioral models for various sensor types (e.g., IMU, Lidar, Radar, Ultrasonic, environmental sensors), capturing characteristics such as noise, latency, calibration, field of view, and transfer functions.
• Create detailed camera models, encompassing optics, image signal processing pipelines, distortion, resolution, dynamic range, and temporal characteristics.
• Integrate individual component models into comprehensive system-level simulations, accurately representing their interactions and overall system dynamics.
• Develop and maintain Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation environments.
• Design and execute experiments to gather real-world data for model parameter identification, calibration, and validation.
• Perform rigorous statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
• Identify discrepancies between model predictions and real-world behavior and iteratively refine models for improved accuracy.
• Conduct trade-off studies using models to optimize system architecture, component selection, and control strategies based on performance, cost, power consumption, and reliability metrics.
• Predict system performance under various operating conditions and environmental factors.
• Perform sensitivity analyses to understand the impact of individual parameters on overall system behavior.
• Support root cause analysis of system issues using simulation.
• Collaborate closely with cross-functional teams including Electrical, Mechanical, Controls, Software, and Test Engineers to define model requirements and integrate models into the broader development process.
• Clearly communicate complex modeling concepts, results, and limitations to both technical and non-technical stakeholders through presentations and detailed documentation.
• Select, evaluate, and implement appropriate modeling and simulation tools and techniques.
• Develop custom scripts and tools to enhance modeling capabilities and automate workflows.
• Stay abreast of industry best practices, new modeling methodologies, and emerging simulation technologies.

Benefits

• Highly competitive equity grants
• Top-tier benefits for full-time employees
• Comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior