About the Job
HALCON is a regional and international leader in next-generation Weapons Systems and Robotics, addressing the challenges of a rapidly changing world. The company specializes in gravity-release bomb guidance systems, offering in-house expertise across design, development, testing, manufacturing, and assembly. This end-to-end capability ensures exceptional quality and competitive pricing while being agile in meeting customer demands.
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We are seeking a skilled AI expert to enhance our technological capabilities by developing and optimizing advanced computer vision algorithms for automatic target recognition, detection, classification, and segmentation. The ideal candidate will have a solid foundation in machine learning, AI, and sensor fusion, along with practical experience in image processing, feature extraction, and real-time edge AI models.
Job Summary:
Key responsibilities include:
- Developing and implementing advanced computer vision algorithms for ATR, detection, classification, and segmentation tasks.
- Enhancing image analysis using feature matching, optical flow, and homography techniques.
- Implementing image processing algorithms for restoration and denoising.
- Developing edge AI models optimized for real-time applications on platforms like NVIDIA Jetson.
- Utilizing optimization techniques, parallel computing, and GPU acceleration to improve algorithm performance.
- Ensuring model interoperability with ONNX and optimizing performance using inference engines.
- Enhancing perception capabilities through sensor fusion techniques, including lidar and camera fusion.
- Generating synthetic data and creating 3D models using AI techniques such as GANs and VAEs.
- Exploring and implementing advanced techniques such as CNNs, RNNs, LSTMs, and Explainable AI.
- Utilizing NVIDIA DeepStream for video analytics and streaming applications.
- Developing and deploying in Linux environments using Python, C/C++, and MATLAB.
- Packaging and deploying applications using Docker containers.
Experience & Education Qualifications:
- Master's or PhD degree in Computer Science, Electrical Engineering, or a related field.
- Minimum of 12 years of experience in deploying machine learning, computer vision, sensor fusion, and deep learning.
- Proficiency in programming languages such as Python, C/C++, and MATLAB, along with familiarity with frameworks like TensorFlow, Keras, and PyTorch.
- Experience with edge computing platforms and optimization techniques.
- Experience in sensor fusion techniques, synthetic data generation, and data handling.
