Master's or PhD in Aerospace, Mechanical, or Electrical Engineering (Controls focus) with 5-10 years of experience.
Deep understanding of MIMO/SISO systems, frequency domain analysis, and Lyapunov stability.
Proficiency in Python or MATLAB/Simulink and C++ for software development.
Strong foundation in linear algebra, coordinate transformations, and orbital mechanics or aerodynamics.
Responsibilities
Develop high-fidelity 6-DOF simulations to predict vehicle behavior.
Design, tune, and analyze flight control laws using Classical and Modern techniques.
Implement sensor fusion algorithms for accurate state estimation from sensor data.
Develop trajectory generation and path-planning logic for autonomous missions.
Conduct Monte Carlo simulations and Linear Stability Analysis to ensure robustness.
Support the integration of GNC software with flight hardware and sensors.
Benefits
Collaborative work environment with a focus on innovation.
Opportunities for professional growth through advanced projects.
Access to cutting-edge technology in aerospace engineering.
Full Job Description
Key Responsibilities
Flight Dynamics Modeling: Develop high-fidelity 6-DOF (Degrees of Freedom) simulations to predict vehicle behavior.
Control Law Design: Design, tune, and analyze flight control laws using both Classical (PID, Root Locus, Bode) and Modern (LQR/LQG, H-infinity, State-Space) techniques.
Navigation & Estimation: Implement sensor fusion algorithms (e.g., Extended Kalman Filters) to provide accurate state estimates from IMU, GPS, and star tracker data.
Guidance Algorithms: Develop trajectory generation and path-planning logic for autonomous mission phases.
Performance Analysis: Conduct Monte Carlo simulations and Linear Stability Analysis (Gain/Phase margins) to ensure system robustness.
Hardware-in-the-Loop (HITL): Support the integration of GNC software with flight hardware and sensors.
Required Qualifications
Education: Master's or PhD in Aerospace, Mechanical, or Electrical Engineering (with a focus on Controls) and 5-10 YOE
Control Theory Mastery: Deep understanding of MIMO/SISO systems, frequency domain analysis, and Lyapunov stability.
Programming: Proficiency in Python or MATLAB/Simulink for modeling and C++ for flight software implementation.
Mathematics: Strong foundation in linear algebra, coordinate transformations (Quaternions, Euler angles), and orbital mechanics or aerodynamics.
Preferred Skills
Experience with simulation tools (JSBSim, Gazebo, etc)
Hands on experience with open-source autopilot
Experience with radar and rocket systems
Understanding of rocket GNC, aerodynamics, flight dynamics and controls
Understanding of computer vision, perception, filtering, and estimation
