and Control Systems New Grad Engineer

BAE Systems, Inc.

Cedar Rapids, IAFresher1h agovia LinkedIn

About the Role

BAE Systems is seeking an entry-level Systems Engineer for its Guidance, Navigation, and Control (GNC) Systems team. This role offers an opportunity to develop in-depth knowledge of Navigation technology and receiver architecture by supporting the design, development, integration, and validation of advanced navigation solutions for aerospace, defense, or autonomous platforms. The position focuses on contributing to the development of robust algorithms and architectures for accurate and reliable state estimation in challenging environments. This role requires full-time, on-site work at a BAE Systems facility.

Key Responsibilities

  • Support the architecture, design, and development of system designs for real-time embedded Navigation receivers for military ground, airborne, and weapons applications.
  • Contribute to the development of robust algorithms and architectures that provide accurate and reliable state estimation under challenging, dynamic, and sensor-limited environments.

Requirements & Tech Stack

  • Bachelor's degree in Science, Technology, Engineering, or Math (STEM) discipline.
  • Must be a US Citizen.
  • Ability to obtain a DoW Security Clearance.
  • Strong grasp of Linear Algebra, Calculus, and Probability/Stochastic processes.
  • Expertise in modeling, simulation, and using MATLAB/Simulink.
  • Experience using C++ (for embedded implementation).
  • Experience using Python (for data analysis and prototyping).
  • Ability to process and visualize large datasets (e.g., using NumPy, Pandas, or MATLAB).

Qualifications (Preferred)

  • Master's or PhD degree in Science, Technology, Engineering, or Math (STEM) discipline.
  • Secret Security Clearance.
  • Experience with Jira and DOORS.
  • Experience or interest in utilizing AI tools for system development.
  • Experience with Model-Based System Engineering (MBSE) tools (e.g., CAMEO, SysML, MagicDraw).
  • Familiarity with Kalman Filtering (EKF, UKF) and recursive estimation techniques.
  • Understanding of IMU mechanics, strapdown integration, and coordinate transformations (Euler angles, Quaternions).
  • Ability to integrate data from disparate sources (GPS, IMU, Magnetometers, Vision/Lidar).

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