Robotics Software Engineer

We're seeking an exceptional Robotics Software Engineer to lead the development of flight control and autonomy software for our quadcopter platform. This is a foundational engineering role where you'll have significant ownership over our core software architecture, autonomy algorithms, and system integration. This role offers the unique opportunity to work on problems at the intersection of computer vision, embedded systems, and robotics, and see your code fly in operational scenarios. Core Responsibilities Design and implement autonomous flight software for our semi-autonomous quadcopter platform, including flight mode development, parameter tuning, and stability optimization Develop computer vision and machine learning algorithms for object detection, perception, navigation, obstacle avoidance, target tracking, and situational awareness in GPS-denied and GPS-enabled environments Build real-time embedded software that operates reliably under resource constraints, ensuring low-latency performance for critical flight operations Use and/or develop sensor fusion algorithms combining IMU, camera, GPS, and other sensor data for robust state estimation and navigation Optimize software performance for power efficiency, computational constraints, and real-time responsiveness on embedded processors Conduct simulation, hardware-in-the-loop testing, and field testing in realistic but safe scenarios to validate software reliability and safety Collaborate with hardware engineers to define requirements, troubleshoot system integration issues, and optimize hardware-software performance Required Qualifications Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or related field 3+ years of professional software development experience preferred, or recent graduate (Master's/PhD) with significant hands-on experience in autonomous systems, robotics, or embedded systems during graduate studies Expert-level proficiency in C++ with experience in modern C++ standards, memory management, and performance optimization Embedded systems programming experience, including real-time constraints, hardware interfaces, interrupt handling, and resource-limited computing Deep understanding of robotics fundamentals, including kinematics, dynamics, control theory, and state estimation Strong debugging and problem-solving skills with experience in troubleshooting hardware-software integration issues Highly Desired Qualifications Hands-on experience with PX4 autopilot, including firmware customization, flight mode development, and parameter tuning Experience with machine learning frameworks (TensorFlow, ONNX, PyTorch) for deploying models for object detection and tracking Strong computer vision background with hands-on experience implementing vision algorithms (OpenCV, camera calibration, feature detection/tracking, pose estimation) Knowledge of sensor fusion techniques (Kalman filters, EKF, particle filters) and SLAM algorithms Proficiency in Python for rapid prototyping, simulation, and tooling Experience with simulation environments such as Gazebo, AirSim, or custom flight simulators Personal Attributes Startup mentality Detail-oriented and quality-focused Adaptable and eager to learn What We Offer Competitive startup compensation, including salary and meaningful equity stake Opportunity to be an early team member with significant impact on company direction Work on cutting-edge technology at the intersection of AI, robotics, and autonomous systems The satisfaction of building systems that enhance the capabilities of those who serve & protect our freedom! Brief description of your most challenging technical problem and how you solved it Cover letter explaining your interest and relevant background Portfolio or GitHub links showcasing relevant projects (especially autonomous systems, computer vision, or embedded work) #J-18808-Ljbffr