Holders of the Guinness World Record for the "Largest Fireworks Display" ever recorded and "Largest Pyrotechnic Image", Fireworks by Grucci is a sixth-generation, family-owned and operated company. Known as "America's First Family of Fireworks," the Gruccis have transformed the night skies to the delight of millions across the globe since 1850. They are world-renowned for pyrotechnic artistry, scientific innovation and old-fashioned values. Their signature performances include the official celebration of the 200th Anniversary of the National Anthem “Star Spangled Spectacular,†in Baltimore, countless performances in and around Las Vegas, NV., seven consecutive U.S. Presidential Inaugurations; the Olympic Games in Beijing, Salt Lake City, Los Angeles and Lake Placid; commemorations such as the Centennial of the Statue of Liberty and star-studded extravaganzas including the grand opening of the Atlantis Dubai and the Palm Jumeirah Island in the United Arab Emirates. On New Year’s Eve 2013, a stunning performance displaying 479,651 fireworks made its debut above Dubai’s iconic skyline. The Gruccis achieved their “Largest Fireworks Display†title with this performance and smashed the Guinness Book of World Record’s preceding mark. Phil Grucci currently serves as President/CEO of Fireworks by Grucci, Inc. and Pyrotechnique by Grucci, Inc., the manufacturing entity of the Grucci group of companies.... |
HALCON is a regional and international leader that offers next-generation Weapons Systems and Robotics Expertise to meet the challenges of a rapidly changing world. HALCON has developed in-house expertise across the entire value chain for gravity-release bomb guidance systems. This includes design, development, testing, manufacturing and assembly. Our end-to-end capabilities ensure exceptional quality and competitive pricing. As well, we are faster and more flexible in meeting customer requirements.
Job Summary:
We seek an AI expert to enhance our technological capabilities and focus on developing and optimizing advanced computer vision algorithms for applications in automatic target recognition, detection, classification, and segmentation. The candidate should have a strong foundation in machine learning, AI, and sensor fusion and practical experience in image processing, feature extraction, and real-time edge AI models.
Key Accountabilities:
Develop and implement advanced computer vision algorithms for ATR, detection, classification, and segmentation tasks.
Enhance image analysis using feature matching, optical flow, and homography techniques.
Implement image processing algorithms for restoration and denoising.
Develop edge AI models optimized for real-time applications on platforms like NVIDIA Jetson.
Utilize optimization techniques, parallel computing, and GPU acceleration to improve algorithm performance.
Ensure model interoperability with ONNX and optimize performance using inference engines.
Enhance perception capabilities through sensor fusion techniques, including lidar and camera fusion.
Generate synthetic data and create 3D models using AI techniques such as GANs and VAEs.
Explore and implement advanced techniques like CNNs, RNNs, LSTMs, and Explainable AI.
Utilize NVIDIA DeepStream for video analytics and streaming applications.
Develop and deploy in Linux environments using Python, C/C++, and MATLAB.
Package and deploy applications using Docker containers.
Experience & Education Qualifications:
Master's or PhD degree in Computer Science, Electrical Engineering, or related field.
Minimum +12 years of experience deploying ML, CV, sensor fusion, and deep learning.
Proficiency in programming languages such as Python, C/C++, and MATLAB, and 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.
AI-Based Cybersecurity
Job Summary:
We seek an AI expert to enhance our technological capabilities and focus on developing and optimizing advanced computer vision algorithms for applications in automatic target recognition, detection, classification, and segmentation. The candidate should have a strong foundation in machine learning, AI, and sensor fusion and practical experience in image processing, feature extraction, and real-time edge AI models.
Key Accountabilities:
Develop and implement advanced computer vision algorithms for ATR, detection, classification, and segmentation tasks.
Enhance image analysis using feature matching, optical flow, and homography techniques.
Implement image processing algorithms for restoration and denoising.
Develop edge AI models optimized for real-time applications on platforms like NVIDIA Jetson.
Utilize optimization techniques, parallel computing, and GPU acceleration to improve algorithm performance.
Ensure model interoperability with ONNX and optimize performance using inference engines.
Enhance perception capabilities through sensor fusion techniques, including lidar and camera fusion.
Generate synthetic data and create 3D models using AI techniques such as GANs and VAEs.
Explore and implement advanced techniques like CNNs, RNNs, LSTMs, and Explainable AI.
Utilize NVIDIA DeepStream for video analytics and streaming applications.
Develop and deploy in Linux environments using Python, C/C++, and MATLAB.
Package and deploy applications using Docker containers.
Experience & Education Qualifications:
Master's or PhD degree in Computer Science, Electrical Engineering, or related field.
Minimum +12 years of experience deploying ML, CV, sensor fusion, and deep learning.
Proficiency in programming languages such as Python, C/C++, and MATLAB, and 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.
AI-Based Cybersecurity
