Master's or PhD in Aerospace, Mechanical, or Electrical Engineering focused on Controls and 5-10 years of experience.
Expertise in control theory, including MIMO/SISO systems and Lyapunov stability concepts.
Proficient in Python or MATLAB/Simulink for modeling and C++ for implementing flight software.
Strong mathematical background, particularly in linear algebra and orbital mechanics.
Experience with simulation tools like JSBSim and Gazebo is preferred.
Responsibilities
Develop 6-DOF simulations to predict vehicle behavior through flight dynamics modeling.
Design and analyze flight control laws using classical and modern techniques.
Implement sensor fusion algorithms for accurate state estimation using IMU and GPS data.
Create trajectory generation and planning logic for autonomous missions.
Conduct performance analysis through Monte Carlo simulations and stability assessments.
Support hardware integration for flight control software with onboard sensors.
Benefits
Opportunity to work on cutting-edge flight tech and autonomous systems.
Collaborative team environment encouraging innovation and idea sharing.
Career development opportunities with mentorship and training programs.
Flexible work hours and potential for remote work arrangements.
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
