A​/AI Research Engineer - E2

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.

We are seeking an experienced engineer who is an subject matter expert in 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.

• BS in electrical engineering, mechanical engineering, aerospace engineering, physics, computer science, applied mathematics, or similar STEM degree and 1+ years of relevant experience.
• Interim Clearance is needed to start, therefore you must be a US Citizen.
• Shall be fluent in one or more of the following languages:
  • MATLAB, python, C++
• Shall have experience solving problems and relevant algorithm development in the  domains mentioned below:
  • Experience in training and inference on modern deep learning neural networks for object detection, classification, and be able to analyze and interpret results.
  • Experience designing and analyzing object detection and classification networks and applying image augmentation and explainable AI
  • Experience in using deep learning frameworks such as:
    PyTorch, Tensor Flow, ONNX
  • Experience deploying neural networks on embedded/edge devices
  • Understanding of how to design neural network architectures and their computational requirements and impacts
  • Knowledge of model optimization techniques (quantization, pruning, knowledge distillation)
  • Experience with TensorRT, OpenVINO, or other inference optimization frameworks
• Knowledge of hardware acceleration techniques (CUDA, OpenCL, Vulkan)
• Familiarity with AMD Xilinx tools (Vitis AI) and FPGA programming
• Shall demonstrate strong math skills in the areas of:
  • Linear algebra, matrix math, statistics, trigonometry, and convolution transformations
  • Have experience in validating C++ algorithm simulations and hardware models with real-time data collections
  • Have been exposed to implementing and debugging  algorithms running in a real-time processing environments

• Active Secret Clearance
• Experience developing and analyzing algorithms related to computer vision
• Demonstrated skills in probability, statistics, and Design of Experiments (DOE)
• Experience deploying algorithms to CPUs, GPUs, and edge devices 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  algorithms running in a real-time processing environments
• Ability to perform preflight system performance assessment and post flight verification analyses

• Design, develop, test, and verify deep learning object detection and classification solutions and image processing and augmentation methods for missile and fire control products
• Develop, 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.
• Develop, validate and deploy AI/ML algorithms to CPUs, GPUs or edge devices
• Evaluate and analyze system performance in complex scenarios and environments and verify system and subsystem level requirements
  
  Perform analyses and test activities that support ground and flight test efforts including…