A/AI Research Engineer Asc - E1

Standard Job Description 
 We are seeking an emerging A/AI Research Engineer who will join a highly skilled team of systems engineering technologists and algorithm developers supporting various contracts and IRADs within Missiles and Fire Control.  The engineer focuses on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers. Serves as the algorithm expert with up-to-date knowledge on modern AI research and may be involved in the inception of ideas and drive the development cycles from research to test of prototypes for a major project or component of a major project. Researches and discovers improvements to machine learning and robotic algorithms; Drives advancements in techniques used in signal processing, computer vision (CV), and control systems; Develops AI algorithms for mission systems; Applies latest research on AI algorithms and trains machine learning / deep learning models to solve a variety of problems; Investigates and applies the latest machine learning and deep learning techniques; Optimizes the performance of AI algorithms, applications, and platforms; Develops and documents algorithm and implementation requirements; Develops prototypes that will enable autonomous functionality in LM products and platforms; Interfaces with other teams involved the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.   The typical Assc. AI-ML Engineer should show: KNOWLEDGE - Demonstrates basic understanding and applies fundamental concepts within area of specialization. COMPLEXITY - Exercises judgement and problem-solving skills to independently complete assignments. IMPACT - Completes assignments requiring judgment and discretion.   Typical tasks may include:  Implement and test deep learning object detection and classification solutions and image processing and augmentation methods for missile and fire control products Validate and test complex models and simulations that utilize convolutional neural networks, transformers, generative AI, and other such techniques to detect and classify objects of interest. Deploy AI/ML algorithms to CPUs, GPUs or edge devices Evaluate system performance in complex scenarios and environments and verify system and subsystem level requirements Perform test activities that support ground and flight test efforts including Hardware-In-The-Loop (HWIL) activities Support program reviews and technical interchange meetings with internal leadership and/or external customers Basic Qualifications 
 BS in electrical engineering, computer engineering, physics, computer science, applied mathematics, or similar STEM degree. Interim Clearance is needed to start, therefore you must be a US Citizen. Should be proficient in one or more of the following languages: MATLAB, python, C++ Should demonstrate the ability to perform one or more of the following Image Processing (IP) assignments based on completed course work or professional experience: Train and inference on modern deep learning neural networks for object detection, classification, and be able to analyze and interpret results. Should demonstrate strong math skills in the areas of: Linear algebra, matrix math, statistics, trigonometry, and convolution transformations Desired Skills 
 Active Secret Clearance Experience developing and analyzing algorithms related to computer vision Experience designing and analyzing object detection and classification networks and applying image augmentation and explainable AI Demonstrated skills in probability, statistics, and Design of Experiments (DOE) Experience deploying algorithms that satisfy real-time performance requirement to various hardware platforms Experience in validating C++ algorithm simulations and hardware models with real-time data collections Have been exposed to implementing and debugging AI_ML algorithms running in a real-time processing