# Staff System Modeling Engineer, Warfighter Systems **Company**: Anduril Industries **Location**: Mountain View, California, United States **Work arrangement**: onsite **Experience**: staff **Job type**: full-time **Salary**: $240,000-$318,000 USD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5133310007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_59eea99e-d49 ## Description We are seeking a highly skilled and experienced Systems Engineer to design, develop, and validate sophisticated models for our complex electro-mechanical systems, with a particular focus on sensors, cameras, and displays. The ideal candidate will leverage first-principles physics, empirical data, and advanced mathematical techniques to create high-fidelity, predictive models used across the entire product lifecycle – from concept exploration and design optimization to control system development and virtual testing. This role is critical in accelerating our product development cycles, improving system performance, and ensuring robust and reliable operation. Responsibilities: Model Development: - 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. Model Validation & Calibration: - 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. Performance Analysis & Optimization: - 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. Collaboration & Communication: - 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. Tooling & Methodologies: - 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. Required Qualifications: - 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 (accelerometers, gyros), Lidars, Radars, Ultrasonic sensors, microphones, etc. (noise characteristics, drift, latency, sensor fusion). - 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. - 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. Preferred Qualifications: - 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. US Salary Range: $240,000-$318,000 USD ## Skills ### Required - System modeling - Simulation - Analysis - Electro-mechanical systems - Sensors - Cameras - Displays - MATLAB/Simulink - Python - C/C++ - Model validation - Statistical analysis - Problem-solving - Communication - Interpersonal skills ### Nice to have - Ph.D. in a relevant engineering or scientific discipline - Familiarity with HIL and SIL testing methodologies and platforms - Knowledge of advanced control techniques and estimation algorithms - Experience with machine learning techniques - Exposure to systems engineering processes, requirements management, and configuration control --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/andurilindustries/jobs/5133310007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)