Perception Engineer, Machine Learning
hace 8 días
El Segundo
Job Overview: We are seeking a Perception Engineer with expertise in sensor fusion and computer vision and to develop target detection, tracking, and classification capabilities for a variety of systems. This role requires a deep understanding of optical, infrared, and radar-based perception, as well as geometric vision, image processing, and real-time tracking algorithms. The ideal candidate will have strong experience in machine learning, sensor modeling, multi-modal data fusion, and computational imaging techniques that enhance target recognition and tracking under real-world conditions, and would use machine learning classification techniques along with physics-based approaches to ensure high reliability and robustness in contested environments. Key Responsibilities: • Develop and implement computer vision algorithms for target detection, tracking, and classification using EO/IR, radar, and LIDAR sensor data., • Design multi-sensor fusion algorithms to improve detection accuracy and reduce ambiguity in real-world scenarios., • Utilize geometric vision techniques (e.g., epipolar geometry, 3D reconstruction, optical flow, structure from motion) to enhance tracking and target identification., • Develop and refine atmospheric and environmental compensation models to improve EO/IR sensor performance in adverse conditions (e.g., fog, smoke, turbulence, low-light)., • Implement real-time image processing techniques, including contrast enhancement, noise reduction, feature extraction, and edge detection, to improve sensor data fidelity., • Develop AI/ML models for friend/foe classification and target type identification (e.g., vehicle, personnel, aircraft)., • Design object tracking algorithms based on deterministic methods such as Kalman filtering, particle filtering, and optical flow-based tracking., • Model target kinematics and dynamics to enhance predictive tracking and classification., • Work with hardware engineers to integrate real-time perception algorithms into embedded systems and ensure low-latency processing., • Perform simulation-based testing and field validation using high-fidelity sensor models and real-world datasets., • Develop and test friend/foe classification and target type identification algorithms using a variety of data-driven ML models., • M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Physics, Aerospace Engineering, or a related field., • 3+ years of experience in computer vision, sensor fusion, and real-time image processing for defense, robotics, or aerospace applications., • Strong background in optics, infrared imaging, radar signal processing, and multispectral/hyperspectral imaging., • Experience with physics-based image formation models, including camera calibration, radiometric corrections, and optical distortion modeling., • Expertise in object tracking techniques, including motion models, optical flow, and deterministic state estimation., • Proficiency in programming languages such as C++, Python, and MATLAB for real-time applications., • Hands-on experience with embedded systems and real-time optimization for edge computing platforms., • Experience integrating multiple sensing modalities (EO, IR, LiDAR, radar, RF) into a cohesive perception system., • Experience in missile guidance, UAV autonomy, or defense-related sensor systems., • Understanding of signature-based target classification methods, including thermal and radar cross-section (RCS) analysis., • Hands-on experience with ROS (Robot Operating System) for perception and sensor integration., • Familiarity with synthetic aperture radar (SAR) processing and passive RF-based target detection., • Familiarity with synthetic data generation and simulation tools such as CARLA, Gazebo, or Unreal Engine., • Experience with numerical modeling of sensor behavior and adaptive optics techniques. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.