Senior Software Engineer (Controls)

We are seeking an exceptional and innovative Controls Engineer to design, develop, and implement control systems for our unmanned aerial vehicles (UAVs). The ideal candidate will have a strong background in control theory and hands-on experience with UAV systems. Experience applying machine learning (ML) and deep learning (DL) to enhance autonomous navigation, path planning, and flight performance is a distinct advantage.

Flight Control System Design: Design, implement, and test advanced control algorithms for UAVs to ensure stability, maneuverability, and reliable performance.

Modeling and Simulation: Create and maintain dynamic flight models for various UAV platforms to simulate and validate control strategies.

Path Planning and Autonomy: Integrate path planning algorithms for autonomous navigation, obstacle avoidance, and optimal flight route generation.

ML/DL Integration: Apply machine learning and deep learning techniques to enhance flight control and dynamic flight models.

Embedded Systems: Develop and optimize robust, compute-constrained code for embedded systems, ensuring reliability and real-time performance.

Hardware-in-the-Loop (HIL) Testing: Conduct comprehensive system testing, including Hardware-in-the-Loop simulations and flight testing, to validate control system performance.

Troubleshooting and Optimization: Analyze flight data to troubleshoot system issues, optimize control parameters, and continuously improve overall performance.

Collaboration: Work closely with cross-functional teams, including mechanical, software, and systems engineers, to deliver high-quality and reliable drone solutions.

What You Bring:

PhD or Masters in Mechanical Engineering, Aerospace Engineering, Computer Engineering, Robotics, or a related field.

2+ years of hands-on experience in control system design, modeling, and simulation.