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AeroVironment

Defense technology and unmanned aerial systems

Controls Engineer

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeAlbuquerque, NM, USA$111.5k - $170kIn-person

About the Job

Requirements

  • A bachelor’s degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, Controls Engineering, or a related technical discipline is required.
  • Five to ten years of relevant engineering experience in controls, robotics, guidance, navigation, and control (GNC), autonomous systems, precision motion systems, or similar applications is required.
  • Demonstrated experience designing and analyzing closed-loop control systems is required.
  • Experience with precision motion control, including servo systems, motors, actuators, encoders, and related feedback devices, is required.
  • Experience in one or more of guidance, navigation, and control; robotics and autonomous systems; precision pointing and tracking; gimbal control and stabilization; state estimation and sensor fusion; signal processing; system identification; or modeling and simulation is required.
  • Strong experience using MATLAB for modeling, simulation, algorithm development, and data analysis is required.
  • Strong experience using Python for engineering analysis, modeling, automation, and visualization is required.
  • Ability to analyze test data, identify system-level performance limitations, and develop engineering solutions is required.
  • Strong understanding of dynamic systems, feedback control theory, linear algebra, probability and statistics, and numerical methods is required.
  • Experience working across software, electrical, mechanical, and systems engineering disciplines is required.
  • Ability to support laboratory and field testing of complex hardware and software systems is required.
  • Ability to obtain and maintain a U.S. Government security clearance is required.
  • U.S. citizenship is required due to security clearance requirements.

Responsibilities

  • Design, develop, analyze, and validate closed-loop control systems for precision pointing, tracking, stabilization, and motion-control applications.
  • Develop control algorithms for high-performance gimbaled, robotic, and electro-mechanical systems.
  • Apply classical and modern control techniques, including feedback control, state-space methods, filtering, estimation, system identification, and trajectory generation.
  • Support guidance, navigation, and control algorithm development and integration.
  • Develop models and simulations of dynamic systems to evaluate system performance, control-loop behavior, disturbances, and design trade-offs.
  • Perform signal processing and sensor-data analysis to characterize system performance and identify opportunities for improvement.
  • Develop algorithms for sensor fusion, state estimation, tracking, filtering, and control.
  • Analyze large datasets collected during laboratory, field, and flight testing using MATLAB and Python.
  • Develop automated analysis tools and visualization methods to rapidly evaluate system and subsystem performance.
  • Perform system identification and develop mathematical models using experimental test data.
  • Translate system-level performance requirements into control-system requirements and design parameters.
  • Support hardware-in-the-loop, software-in-the-loop, laboratory, and field testing.
  • Troubleshoot complex interactions between sensors, actuators, embedded software, communications, and mechanical systems.
  • Work closely with software engineers to transition algorithms and models into real-time embedded implementations.
  • Support design reviews, technical reviews, test readiness reviews, and customer demonstrations.
  • Document control-system architectures, algorithms, models, test results, and performance assessments.
  • Support integration and field testing of Directed Energy systems at government and customer test locations.

Desired Qualifications

  • An active U.S. Government security clearance is highly desired.
  • A master’s degree in Controls, Electrical Engineering, Aerospace Engineering, Robotics, Mechanical Engineering, or a related discipline is desired.
  • Experience with directed energy, counter-UAS, missile defense, precision tracking, or advanced weapon systems is desired.
  • Experience developing controls for high-bandwidth electro-optical or gimbaled systems is desired.
  • Experience with target tracking, image-based tracking, or electro-optical/infrared sensor systems is desired.
  • Experience with Kalman filtering, Extended Kalman Filters, sensor fusion, and state estimation is desired.
  • Experience with hardware-in-the-loop and software-in-the-loop simulation environments is desired.
  • Experience transitioning MATLAB/Python algorithms into C/C++ or real-time embedded software is desired.
  • Familiarity with real-time operating systems, embedded processors, FPGAs, or distributed control architectures is desired.
  • Experience conducting system identification using laboratory or field-test data is desired.
  • Experience developing Monte Carlo simulations and conducting system-level performance analysis is desired.
  • Familiarity with defense acquisition, system qualification, and operational test environments is desired.

About the Company

AeroVironment

Defense technology and unmanned aerial systems

AeroVironment designs and builds robotic systems for defense across air, land, and space, including small reconnaissance drones, high-altitude aircraft, and loitering munitions. These products work by carrying sensors and control software that allow autonomous or semi-autonomous missions, with real-time data collection, and, for weapons-enabled models, a payload and deployment mechanism for precision strikes. The company differentiates itself through a growing, multi-domain defense portfolio built via acquisitions, creating an integrated platform that combines drones with space tech, counter-UAS, and other defense capabilities. Its goal is to become a comprehensive defense-technology provider that can win large, long-term contracts by offering coordinated, autonomous systems across multiple domains.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Crystal City, Virginia
Founded
1971

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