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Staff System Modeling Engineer, Warfighter Systems

2 hours, 41 minutes ago
United States
Full-time
Lead
Embedded Systems Engineer
IoT and Embedded Systems
Machine Learning MATLAB NumPy Pandas Python SciPy
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Anduril Industries

Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense
1K-5K
Founded 2017
$2200M raised
View All Jobs 272

Description

  • Develop mathematical and behavioral models for sensors, cameras, and actuators, including noise, latency, calibration, optics, dynamics, and thermal behavior.
  • Integrate component-level models into system-level simulations that capture 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 collect real-world data for parameter identification, calibration, and model validation.
  • Perform statistical analysis to quantify model accuracy, uncertainty, and fidelity against empirical measurements.
  • Identify model discrepancies and iteratively refine models to improve predictive accuracy.
  • Conduct trade-off studies to optimize system architecture, component selection, and control strategies based on performance, cost, power, and reliability.
  • Predict system performance across operating conditions and environmental factors.
  • Perform sensitivity analyses to understand the impact of individual parameters on system behavior.
  • Collaborate with electrical, mechanical, controls, software, and test engineers to define requirements and integrate models into development.
  • Communicate modeling results, limitations, and recommendations through presentations and documentation.
  • Select, evaluate, and implement modeling and simulation tools and techniques.
  • Develop custom scripts and tools to enhance modeling capability and automate workflows.
  • Stay current on modeling methodologies, simulation technologies, and industry best practices.

Requirements

  • 6+ years of experience in system modeling, simulation, and analysis, particularly for electro-mechanical systems.
  • Demonstrated experience developing models for at least two of the following: sensors, cameras, or actuators.
  • Experience modeling sensors such as IMUs, lidars, radars, ultrasonic sensors, or force/torque sensors, including noise, drift, latency, and sensor fusion.
  • Experience modeling cameras, including optics, image processing pipelines, distortion, noise, dynamic range, and rolling shutter effects.
  • Experience modeling actuators such as DC/BLDC motors, stepper motors, servo motors, hydraulic/pneumatic systems, gearing, or linkages.
  • Strong theoretical foundation in classical and modern control systems, dynamics, signal processing, and numerical methods.
  • Proficiency in MATLAB/Simulink, Python (SciPy, NumPy, Pandas), or C/C++; Simscape is a plus.
  • Experience with model validation against experimental data and statistical analysis techniques.
  • Strong problem-solving ability with an ability to apply first principles to complex engineering challenges.
  • Strong communication and interpersonal skills for effective cross-functional collaboration.
  • U.S. Person status is required (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.
  • Ph.D. in a relevant engineering or scientific discipline is preferred.
  • Experience with Modelica, Adams, Amesim, Gazebo, or other advanced multi-domain simulation tools is preferred.
  • Familiarity with HIL and SIL platforms such as dSPACE or National Instruments is preferred.
  • Knowledge of advanced control techniques such as adaptive, optimal, or robust control, and estimation algorithms such as Kalman filters or particle filters is preferred.
  • Experience with machine learning for model identification, surrogate modeling, or data-driven predictions is preferred.
  • Exposure to systems engineering processes, requirements management, and configuration control is preferred.
  • Experience with cloud-based simulation platforms or distributed computing for large-scale simulations is preferred.

Benefits

  • Competitive base salary range of $220,000 to $292,000 USD.
  • Highly competitive equity grants included in the majority of full-time offers.
  • Comprehensive medical, dental, and vision coverage for U.S. roles at little to no cost.
  • Life and disability insurance provided for all employees.
  • Highly competitive PTO, including a holiday hiatus in December.
  • Caregiver and wellness leave for family care, new baby bonding, or personal medical needs.
  • Family planning and parenting support, including fertility, adoption, and gestational carrier coverage.
  • Free 24/7 mental health resources, including therapy and life coaching, plus legal and financial support.
  • Annual reimbursement for professional development.
  • Company-funded commuter benefits based on region.
  • Relocation assistance available depending on role eligibility.
  • Retirement savings options, including 401(k), Roth, and after-tax options for U.S. roles.

Interested in this position?

Apply directly on the company website

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